DATA SCIENCE AND MACHINE LEARNING
Machine learning (ML) is a type of artificial intelligence (AI) that allows machines to learn and improve from data without being explicitly programmed. ML uses algorithms to analyze data, identify patterns, and make decisions.
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| Responsible | gavireddy hruthik |
|---|---|
| Last Update | 03/06/2025 |
| Completion Time | 1 day 6 hours 48 minutes |
| Members | 39 |
Advanced
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Data Science Full Course1Lessons · 1 day 1 hr
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Data Science Full Course - Complete Data Science Course IBM
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Welcome to the Python for Data Science & ML bootcamp!1Lessons · 1 min
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Welcome to the Python for Data Science & ML bootcamp!
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Python A Brief Overview.1Lessons · 1 min
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Python A Brief Overview.
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The Python Installation Procedure1Lessons · 2 mins
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The Python Installation Procedure
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What Jupyter is.1Lessons · 1 min
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What Jupyter is.
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Set up Anaconda on Different Operating Systems1Lessons · 4 mins
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Set up Anaconda on Different Operating Systems
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How to integrate Python into Jupyter1Lessons · 1 min
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How to integrate Python into Jupyter
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Handling Directories in Jupyter Notebook.1Lessons · 3 mins
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Handling Directories in Jupyter Notebook.
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Input & Output1Lessons · 2 mins
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Input & Output
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Working with different datatypes1Lessons · 1 min
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Working with different datatypes
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Variables1Lessons · 2 mins
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Variables
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Arithmetic Operators1Lessons · 2 mins
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Arithmetic Operators
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Comparison Operators1Lessons · 1 min
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Comparison Operators
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Logical Operators1Lessons · 3 mins
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Logical Operators
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Conditional statements1Lessons · 2 mins
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Conditional statements
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Loops1Lessons · 4 mins
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Loops
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Sequences Part 1 Lists1Lessons · 3 mins
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Sequences Part 1 Lists
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Sequences Part 2 Dictionaries1Lessons · 3 mins
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Sequences Part 2 Dictionaries
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Sequences Part 3 Tuples1Lessons · 1 min
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Sequences Part 3 Tuples
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Functions Part 1 Built-in Functions1Lessons · 1 min
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Functions Part 1 Built-in Functions
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Functions Part 2 User-defined Functions1Lessons · 3 mins
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Functions Part 2 User-defined Functions
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Completing Library Setup1Lessons · 1 min
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Completing Library Setup
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Library Importing1Lessons · 2 mins
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Library Importing
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Pandas A Data Science Library1Lessons · 1 min
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Pandas A Data Science Library
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NumPy A Data Science Library1Lessons · 1 min
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NumPy A Data Science Library
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NumPy vs Pandas1Lessons · 1 min
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NumPy vs Pandas
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Matplotlib Library for Data Science1Lessons · 1 min
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Matplotlib Library for Data Science
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Seaborn Library for Data Science1Lessons · 1 min
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Seaborn Library for Data Science
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Intro to NumPy arrays1Lessons · 1 min
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Intro to NumPy arrays
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Creating NumPy arrays1Lessons · 6 mins
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Creating NumPy arrays
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Indexing NumPy arrays1Lessons · 6 mins
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Indexing NumPy arrays
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Array shape1Lessons · 1 min
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Array shape
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Iterating Over NumPy Arrays1Lessons · 5 mins
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Iterating Over NumPy Arrays
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Basic NumPy arrays zeros()1Lessons · 2 mins
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Basic NumPy arrays zeros()
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Basic NumPy arrays ones()1Lessons · 1 min
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Basic NumPy arrays ones()
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Basic NumPy arrays full()1Lessons · 1 min
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Basic NumPy arrays full()
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Adding a scalar1Lessons · 2 mins
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Adding a scalar
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Subtracting a scalar1Lessons · 1 min
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Subtracting a scalar
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Multiplying by a scalar1Lessons · 1 min
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Multiplying by a scalar
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Dividing by a scalar1Lessons · 1 min
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Dividing by a scalar
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Raise to a power1Lessons · 1 min
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Raise to a power
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Transpose1Lessons · 1 min
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Transpose
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Element-wise addition1Lessons · 2 mins
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Element-wise addition
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Element-wise subtraction1Lessons · 1 min
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Element-wise subtraction
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Element-wise multiplication1Lessons · 1 min
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Element-wise multiplication
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Element-wise division1Lessons · 1 min
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Element-wise division
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Matrix multiplication1Lessons · 2 mins
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Matrix multiplication
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Statistics1Lessons · 3 mins
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Statistics
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What is a Python Pandas DataFrame1Lessons · 1 min
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What is a Python Pandas DataFrame
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What is a Python Pandas Series1Lessons · 1 min
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What is a Python Pandas Series
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DataFrame vs Series1Lessons · 1 min
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DataFrame vs Series
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Creating a DataFrame using lists1Lessons · 3 mins
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Creating a DataFrame using lists
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Creating a DataFrame using a dictionary1Lessons · 1 min
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Creating a DataFrame using a dictionary
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Loading CSV data into python1Lessons · 2 mins
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Loading CSV data into python
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Changing the Index Column1Lessons · 1 min
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Changing the Index Column
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Inplace1Lessons · 1 min
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Inplace
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Examining the DataFrame Head & Tail1Lessons · 1 min
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Examining the DataFrame Head & Tail
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Statistical summary of the DataFrame1Lessons · 1 min
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Statistical summary of the DataFrame
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Slicing rows using bracket operators1Lessons · 1 min
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Slicing rows using bracket operators
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Indexing columns using bracket operators1Lessons · 1 min
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Indexing columns using bracket operators
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Boolean list1Lessons · 1 min
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Boolean list
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Filtering rows using & and operators1Lessons · 2 mins
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Filtering rows using & and operators
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Filtering data using loc()1Lessons · 4 mins
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Filtering data using loc()
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Filtering data using iloc().1Lessons · 2 mins
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Filtering data using iloc().
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Adding and deleting rows and columns1Lessons · 3 mins
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Adding and deleting rows and columns
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Sorting Values1Lessons · 2 mins
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Sorting Values
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Exporting and saving pandas DataFrames1Lessons · 2 mins
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Exporting and saving pandas DataFrames
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Concatenating DataFrames1Lessons · 1 min
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Concatenating DataFrames
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groupby()1Lessons · 3 mins
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groupby()
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Introduction to Data Cleaning1Lessons · 1 min
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Introduction to Data Cleaning
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Quality of Data1Lessons · 1 min
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Quality of Data
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Examples of Anomalies1Lessons · 1 min
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Examples of Anomalies
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Median-based Anomaly Detection1Lessons · 3 mins
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Median-based Anomaly Detection
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Mean-based anomaly detection1Lessons · 3 mins
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Mean-based anomaly detection
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Z-score-based Anomaly Detection1Lessons · 3 mins
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Z-score-based Anomaly Detection
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Interquartile Range for Anomaly Detection1Lessons · 5 mins
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Interquartile Range for Anomaly Detection
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Dealing with missing values1Lessons · 6 mins
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Dealing with missing values
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Regular Expressions1Lessons · 7 mins
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Regular Expressions
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Feature Scaling1Lessons · 3 mins
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Feature Scaling
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Introduction1Lessons · 1 min
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Introduction
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What is Exploratory Data Analysis1Lessons · 1 min
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What is Exploratory Data Analysis
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Univariate Analysis1Lessons · 2 mins
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Univariate Analysis
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Univariate Analysis Continuous Data1Lessons · 6 mins
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Univariate Analysis Continuous Data
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Univariate Analysis Categorical Data1Lessons · 2 mins
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Univariate Analysis Categorical Data
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Bivariate analysis Continuous & Continuous1Lessons · 5 mins
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Bivariate analysis Continuous & Continuous
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Bivariate analysis Categorical & Categorical1Lessons · 3 mins
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Bivariate analysis Categorical & Categorical
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Bivariate analysis Continuous & Categorical1Lessons · 2 mins
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Bivariate analysis Continuous & Categorical
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Detecting Outliers1Lessons · 6 mins
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Detecting Outliers
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Categorical Variable Transformation1Lessons · 4 mins
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Categorical Variable Transformation
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Introduction to Time Series1Lessons · 2 mins
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Introduction to Time Series
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Getting stock data using yfinance1Lessons · 3 mins
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Getting stock data using yfinance
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Converting a Dataset into Time Series1Lessons · 4 mins
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Converting a Dataset into Time Series
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Working with Time Series1Lessons · 4 mins
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Working with Time Series
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Time Series Data Visualization with Python1Lessons · 3 mins
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Time Series Data Visualization with Python
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Setting Up Matplotlib1Lessons · 1 min
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Setting Up Matplotlib
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Plotting Line Plots using Matplotlib1Lessons · 2 mins
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Plotting Line Plots using Matplotlib
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Title, Labels & Legend1Lessons · 7 mins
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Title, Labels & Legend
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Plotting Histograms1Lessons · 1 min
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Plotting Histograms
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Plotting Bar Charts1Lessons · 2 mins
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Plotting Bar Charts
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Plotting Pie Charts1Lessons · 3 mins
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Plotting Pie Charts
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Plotting Scatter Plots1Lessons · 6 mins
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Plotting Scatter Plots
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Plotting Log Plots1Lessons · 1 min
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Plotting Log Plots
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Plotting Polar Plots1Lessons · 2 mins
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Plotting Polar Plots
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Handling Dates1Lessons · 1 min
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Handling Dates
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Creating multiple subplots in one figure1Lessons · 3 mins
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Creating multiple subplots in one figure
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Why do we need machine learning1Lessons · 2 mins
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Why do we need machine learning
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Machine Learning Use Cases1Lessons · 2 mins
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Machine Learning Use Cases
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Approaches to Machine Learning1Lessons · 1 min
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Approaches to Machine Learning
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What is Supervised learning1Lessons · 1 min
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What is Supervised learning
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What is Unsupervised learning1Lessons · 1 min
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What is Unsupervised learning
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Supervised learning vs Unsupervised learning1Lessons · 4 mins
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Supervised learning vs Unsupervised learning
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Introduction to regression1Lessons · 2 mins
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Introduction to regression
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How Does Linear Regression Work1Lessons · 2 mins
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How Does Linear Regression Work
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Line representation1Lessons · 1 min
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Line representation
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Implementation in python Importing libraries & datasets1Lessons · 2 mins
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Implementation in python Importing libraries & datasets
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Implementation in python Distribution of the data1Lessons · 2 mins
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Implementation in python Distribution of the data
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Implementation in python Creating a linear regression object1Lessons · 3 mins
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Implementation in python Creating a linear regression object
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Understanding Multiple linear regression1Lessons · 2 mins
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Understanding Multiple linear regression
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Exploring the dataset2Lessons · 5 mins
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Exploring the dataset
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Exploring the dataset
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Encoding Categorical Data1Lessons · 5 mins
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Encoding Categorical Data
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Splitting data into Train and Test Sets1Lessons · 2 mins
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Splitting data into Train and Test Sets
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Training the model on the Training set1Lessons · 1 min
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Training the model on the Training set
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Predicting the Test Set results1Lessons · 3 mins
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Predicting the Test Set results
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Evaluating the performance of the regression model1Lessons · 1 min
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Evaluating the performance of the regression model
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Root Mean Squared Error in Python1Lessons · 2 mins
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Root Mean Squared Error in Python
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Introduction to classification1Lessons · 1 min
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Introduction to classification
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K-Nearest Neighbors algorithm1Lessons · 1 min
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K-Nearest Neighbors algorithm
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Example of KNN1Lessons · 1 min
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Example of KNN
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K-Nearest Neighbours (KNN) using python1Lessons · 1 min
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K-Nearest Neighbours (KNN) using python
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Importing required libraries1Lessons · 1 min
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Importing required libraries
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Importing the dataset1Lessons · 2 mins
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Importing the dataset
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Importing the KNN classifier1Lessons · 2 mins
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Importing the KNN classifier
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Results prediction & Confusion matrix1Lessons · 2 mins
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Results prediction & Confusion matrix
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Introduction to decision trees1Lessons · 1 min
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Introduction to decision trees
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What is Entropy1Lessons · 1 min
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What is Entropy
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Decision tree structure1Lessons · 1 min
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Decision tree structure
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Importing libraries & datasets1Lessons · 1 min
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Importing libraries & datasets
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Results Prediction & Accuracy1Lessons · 3 mins
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Results Prediction & Accuracy
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Implementation steps1Lessons · 1 min
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Implementation steps
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Splitting data into Train and Test Sets.1Lessons · 1 min
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Splitting data into Train and Test Sets.
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Pre-processing1Lessons · 2 mins
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Pre-processing
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Training the model1Lessons · 1 min
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Training the model
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Logistic Regression vs Linear Regression1Lessons · 2 mins
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Logistic Regression vs Linear Regression
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Introduction to clustering1Lessons · 1 min
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Introduction to clustering
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Use cases1Lessons · 1 min
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Use cases
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K-Means Clustering Algorithm1Lessons · 1 min
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K-Means Clustering Algorithm
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Elbow method1Lessons · 2 mins
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Elbow method
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Steps of the Elbow method1Lessons · 1 min
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Steps of the Elbow method
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Implementation in python1Lessons · 4 mins
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Implementation in python
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Hierarchical clustering1Lessons · 1 min
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Hierarchical clustering
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Density-based clustering1Lessons · 2 mins
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Density-based clustering
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Implementation of k-means clustering in python1Lessons · 1 min
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Implementation of k-means clustering in python
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Visualizing the dataset1Lessons · 2 mins
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Visualizing the dataset
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Defining the classifier1Lessons · 2 mins
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Defining the classifier
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3D Visualization of the clusters1Lessons · 1 min
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3D Visualization of the clusters
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3D Visualization of the predicted values1Lessons · 3 mins
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3D Visualization of the predicted values
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Number of predicted clusters1Lessons · 2 mins
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Number of predicted clusters
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Collaborative Filtering in Recommender Systems1Lessons · 1 min
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Collaborative Filtering in Recommender Systems
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Content-based Recommender System1Lessons · 1 min
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Content-based Recommender System
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Merging datasets into one dataframe1Lessons · 1 min
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Merging datasets into one dataframe
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Sorting by title and rating1Lessons · 4 mins
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Sorting by title and rating
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Histogram showing number of ratings1Lessons · 1 min
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Histogram showing number of ratings
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Frequency distribution1Lessons · 1 min
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Frequency distribution
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Jointplot of the ratings and number of ratings1Lessons · 1 min
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Jointplot of the ratings and number of ratings
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Data pre-processing1Lessons · 2 mins
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Data pre-processing
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Sorting the most-rated movies1Lessons · 1 min
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Sorting the most-rated movies
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Grabbing the ratings for two movies1Lessons · 1 min
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Grabbing the ratings for two movies
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Correlation between the most-rated movies1Lessons · 2 mins
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Correlation between the most-rated movies
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Sorting the data by correlation1Lessons · 1 min
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Sorting the data by correlation
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Filtering out movies1Lessons · 1 min
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Filtering out movies
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Repeating the process for another movie1Lessons · 2 mins
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Repeating the process for another movie
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Conclusion1Lessons · 1 min
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Conclusion
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