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Machine Learning Intuition

Course Overview

Install Anaconda and Python 3 on Ubuntu Machine

Install Anaconda and Python 3 on Windows 10

Install VS Code

Jupyter Notebook Shortcuts

Install Git Bash and Commander Terminal

Install Anaconda and Python 3 on Mac Machine

Python Data Types Part 2

Python Data Types Part 1

Mutable and Immutable Data Types

Python Data Types Conversion

Working with String Methods

String Formatting

Working with List Part 1

String Assignment

Working with Set Part 1

Working with List Part 2

Working with Tuple

Working with Set Part 2

Working with Truthy and Falsy Condition

Working with Boolean and Logical Operators

Working with Dictionary

If Else If Conditional Statement Part 1

If Else If Conditional Statement Part 2

Working with continue and break statements in Loops

Working with for and while() Loops

Method and Lambda Function Part 1

Working with range iterators

Exception (Error) Handling

Method and Lambda Function Part 2

Comprehensions Methods

Working with Dates and Times

Create Your Own Python Module

How to Create Numpy 1D, 2D and 3D Array

Create Array using Ones and Zeros in Numpy

Statistical Operations in Numpy

Working with Inf and NaN in Numpy

All About Shape, Reshape, Ravel, Flatten in Numpy

All About the Sequence and Repetitions in Numpy

Random Numbers in Numpy

How to Index 1D, 2D, and 3D Numpy Array

Importance of Where(), ArgMax(), ArgMin() in ML Models

Save Preprocessed Arrays with File Read and Write

Concatenate and Sorting

Working with Dates in Numpy

Selecting Subset of Columns and Doing Arithmetic Operations on Columns

Pandas File Reading from Local and Online

Write File with Custom Column Separator

Using Lambda Function with Pandas Dataframe

Dataframe Slicing

Head, Tail, Sample, Frac and Random State in Pandas

Column Renaming and Selection Based on Data Types

Getting Information About Dataframe with Info, Shape, Duplicated, and Drop

Data Imputation with Pandas Dataframe

Dataframe Filtering Based on Condition on Columns

Handling NaN and Null Values in Dataframe

Lambda Function for Feature Engineering Part 2

Lambda Function for Feature Engineering Part 1

Importance of Groupby and Aggregation in Smart Data Imputation

Multi Columns Grouping and Aggregation

Pandas Inner Merging

Pandas Left, Right, Outer and Concat Joining

Handling Categorical Data

Sorting Pandas Dataframe

Handling Dates with Pandas

Create Your First File in write Mode

Read Your First File

Many Ways to Write Multiple Lines

How to Write List in File and Evaluate It in Read Mode

ReadWrite Multisheet Excel File

ReadWrite json Data with Pandas

Reading CSV and TSV Files

Read Large Files in Chunks

How to Read Nested json Data in Dataframe

Read Audio from Local File and Convert into Text

Read Audio from Microphone to Convert it into Text Data

Covert PDF data into Text Data for ML Models