Machine Learning Online Training

Introduction to Python Programming Language

Lists

Sets

Tuples

Dictionaries

Week 2

Introduction to Python for Data Science

Numpy

Pandas

Advanced Pandas Tricks

Exploratory Data Analysis

Data Cleaning

Data Preparation

Week 3

Introduction to Data Analysis

Groupby

Aggregate Functions

Lambas

Functions

Classes

Definitions

Filter

Matrices

Queries

Data Frame Operations

Week 4

Introduction to Data Visualization

Introduction to Pandas for Plotting

Types of Charts

Univariate Analysis

Bivariate Analysis

Multivariate Analysis

Matplotlib

Seaborn

Plotly

Animated Data Visualizations

Geo Spatial Data Visualizations

Creating Dashboards in Python

Week 5

Introduction to Data Preprocessing

Feature Engineering

Feature Extraction

Feature Selection Strategies

Types of Feature Selection

Correlation

Heatmaps

Data Preparation

Data Manipulation

Week 6

Introduction to Machine Learning

Introduction to Types of Machine Learning

Supervised Learning Techniques

Regression Analysis

Linear Regression

Lasso Regression

Ridge Regression

Elastic Net Regression

Metrics for Regression

Week 7

Introduction to Classification Algorithms

Logistic Regression

Decision Trees

Random Forests

K Nearest Neighbors

Support Vector Machines

Naive Bayes Theorem

Ada Boost

Metrics for Classification

Week 8

Introduction to Unsupervised Learning

Types of Clustering Techniques

K-Means Clustering

Hierarchial Clustering

Dimensionality Reduction Techniques

PCA

LDA

Difference between LDA and PCA

Week 9

Introduction to Advanced Machine Learning Tricks

Cross Validation Techniques

Grid Search

Hyper Parameter Tuning

Ensembling Techniques

Model Validation Techniques

Model Explanation

SEO Training ( Search Engine Optimization )

Google Trends

Sitemap Creation

Keyword Research

Introduction to SEO

Keyword Placement

Competitive Analysis

Robots.txt File Creation

Google Webmaster Tools

Purpose of website analytics

On page Optimization strategies