Machine Learning Course in Delhi & Python With Data Science

The print statement

Comments

Basic data types introduction

String Operations in Python

Simple Input & Output

Simple Output Formatting

Numbers

Strings

List

List Method

Dictionary

Tuple

Sets

Frozen sets

Mutability and immutability

Type Casting

Indentation

The If statement and its’ related statement

An example with if and it’s a related statement

The while loop

The for loop

The range statement

Break & Continue statements

Enumerate, zip & tuple unpacking

Examples for looping

Create your own functions

Functions Parameters

Variable Arguments

Scope of a Function

Function Documentation/Docstrings

Lambda Functions

Map and Filter

Exercise with functions

• Errors
• Exception Handling with try
• Handling Multiple Exceptions
• Writing your own Exceptions

File Handling Modes

Reading Files

Writing & Appending to Files

Handling File Exceptions

The with statement

Classes introduction

Variable Type

Creating Classes

Defining objects

Instance Methods

Inheritance

Polymorphism

Simple Character Matches

Metacharacters

Special Sequences

Regex sets

Matching at Beginning or End

Match Objects

Substituting

Splitting a String

Introduction to MongoDB

Installation

DB Connection with Python

Creating DB collections

Insert, Read, Update, Delete operations

Introduction to Numpy

Creating and Printing an array

Indexing and slicing of an array

Numpy Operations

Numpy Methods

Numpy Exercise

Numpy Exercise Solutions

Introduction of Pandas

Understanding Series

Series Operations

Understanding DataFrame

View and Select Data Demo

Missing Values

Groupby

Operations

File Read and Write Support

Projects 1 Using Pandas (Getting insights from salary dataset)
Projects 2 As assignment (on Ecommerce Purchase Dataset)

Introduction to Matplotlib

Matplotlib Part 1

Matplotlib Part 2

Seaborn introduction

Distribution & categorical plots using seaborn

Heatmap using Seaborn

Plotly introduction

Geographical plotting

DATA CAPSTONE PROJECT

Introduction to SVM

Working with High Dimensional Data

Working of SVM and its uses

Breast Cancer Prediction Project using SVM

Need for dimensionality reduction

Principal Component Analysis (PCA)

PCA with Python on cancer Dataset

Conditional Probability

Overview of Naïve Bayes Algorithm

News Classification Project using naïve Bayes classifier

Basic of Computer Vision & OpenCV

Images Manipulations

Image Segmentation

Object Detection

Face, People and Car Detection

Machine Learning in Computer Vision

Motion Detection Project using Opencv

Introduction to neural networks

Perceptron model

Activation functions in NN

Introduction to Tensorflow

MNIST project Overview
MNIST project Solution
Fashion MNIST Project

NLP introduction

NLP with Python Part 1 (bag of words)

NLP with Python Part 2 (TF-IDF)

Spam-Ham message detection NLP Project

Introduction to Machine Learning

Understanding supervised and unsupervised learning with examples

Test-train split

Underfitting and overfitting

Linear Regression Theory

Dependent and independent Variables

Linear Regression with Python

Linear Regression Project on Predicting House Price

Logistic Regression Theory – Introduction

Logistic Regression with Python – Part 1 – EDA

Logistic Regression with Python – Part 2 – ML Model

Logistic Regression with Python – Part 3 – Conclusion

Logistic Regression Project on Titanic Dataset Overview and Project Solutions

KNN Theory

KNN with Python

KNN Project Overview and Project Solutions

K Means Algorithm Theory

K Means with Python

K Means Project Overview

K Means Project Solutions

Introduction to decision trees

Entropy and Information gain

Introduction to bagging algorithm

Random Forests

Project on tree models
Project solution