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Python
- Introduction to Python
- Python Introduction and IDE
- Basic Commands in Python
- Objects, Number and Strings
- Objects, List, Tuples and Dictionaries
- If_else and For_loop
- Functions and Packages
- Important Packages
- Python built-in libraries
- Python third party libraries
- Object oriented programming
- classes
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Introduction to machine learning
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Descriptive analytics
- Working with DataFrames in Python
- IPL dataset description using dataframe in python
- Loading Dataset into pandas dataframe
- Displaying first few records of the dataframe
- Finding summary of the dataframe
- Slicing and indexing of dataframe
- Value counts and cross tabulations
- Sorting dataframe by column values
- Creating new columns
- Grouping and aggregating
- Joining dataframes
- Renaming columns
- Apply operations to multiple columns
- Filtering Records based on conditions
- Removing a column or a row from a dataset
- Handling Missing values
- Exploration of Data using Visualization
- Drawing plots
- Bar chart
- Histogram
- Distribution or density Plot
- Box plot
- Comparing distribution
- Scatter plot
- Pair Plot
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Probability distributions and hypothesis tests
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Linear regression
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Classification problems
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Advanced machine learning
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Clustering
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Forecasting
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Support Vector Machines
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Recommender systems
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Text analytics ( NLTP)
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Neural Networks
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Deploying application in Azure
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Deploying ML application in AWS
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Projects covered/discussed
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