Data Science

Introduction
Overview of Datascience, Starting with Data Science, Overview of this training, Overview of Data Science, Terminologies in Data Science

Introduction
Overview of Machine Learning, Starting with Machine Learning, Overview of this training, Terminologies in Machine Learning

Machine Learning
Introduction to Machine Learning, What is Machine Learning?, Types of Machine Learning, How Machine Learning works? Usage of Machine Learning.

Revisiting Python
Introduction to Python Programming, Introduction to Python and Anaconda, Working on Jupyter IDE, Conditional statements in Python, Different types of data, List,Tuple Dictionary, Loops

Function & Packages
Function, Packages, Installing different packages of Python

Python Libraries
Working on Various Python Libraries, NumPy, Pandas, Matplotlib, Scikit-learn

NumPy
Working on NumPy, Introduction to Numpy Array, Creating arrays of different Dimensions, Indexing, Data processing using Array

Pandas
Data Analysis using Pandas, Introduction to Pandas, Data Type of Pandas, Creating Dataframe using Pandas, Importing Dataset using Pandas, Various operations on data using Pandas tools

Matplotlib
Data visualization using Matplotlib, Plotting data using Matplotlib library, Using various tools of Matplotlib, Types of Graph, Implementation of different types of Graphs

Scikit-Learn
Applying Algorithms on Dataset using Scikit-learn, Data splitting, Using different algorithms for dataset, Prediction, Score check

Machine Learning Algorithms
Regression analysis
Simple linear regression
Multi linear regression
Classification
Binary class classification
Multi class classification
Support Vector Machine
KNN algorithm

Datasets
IRIS Dataset
BMI Male Female Dataset
MNIST Dataset
DIGIT Dataset
Titanic Dataset
CIFAR Dataset

Projects
1. Area Price Prediction Project
2. Gender Classification Project
3. Iris Flower Species Classification
4. Digit Recognition Project
5. Survival Prediction on Titanic Project
6. Object Recognition Project
7. Insurance Purchase Prediction Project