Introduction of Machine Learning

Supervised and Unsupervised Machine Learning

Regression

Classification

Recommendation System

ML on Cloud

NumPy

Pandas

Marginal Probability

Bayes Theorem

Binomial Distribution

Normal Distribution

Poisson Distribution

Descriptive Statistics

Measures of Dispersion Range and IQR

Central Tendency and 3 Ms

The Empirical Rule and Chebyshev Rule

Correlation Analysis

Data Collection

Statistical Analysis

Probability

Central Limit Theorem

Hypothesis Testing

Chi-Square Test

ANOVA

Central Tendency

Measures of Variability

Measure of Skewness

Kurtosis

Frequency Distribution Table

Data Leakage

Data Balancing

K-fold Cross Validation

Model Building

Introduction to Machine Learning

Supervised Machine Learning

Linear Regression

Pearson's Coefficient

Coefficient of Determinant

Machine Learning Basics

Supervised and unsupervised learning

Algorithm basics

K-Nearest Neighbour Algorithm

Linear Regression Technique

Naive Bayes Algorithm

Support Vector Machines

Random Forest Algorithm

Types of Linear Regression

Regression analysis

Missing Value Detection

Data handling and prediction

Scikit Learn Library

Logistic Regression

Naïve Bayes

Entropy

Heterogeneity

Shannon's Entropy

Preventing Overfitting

Random Forest

Random Forest Regression

Hands-on

Logistic Regression vs Random Forest

Linear Regression vs Random Forest

Unsupervised Learning

Clustering

k-means Clustering

Introduction to Hierarchical Clustering

Agglomerative Hierarchical Clustering

Euclidean Distance

Manhattan Distance

Minkowski Distance

Jaccard Index

Cosine Similarity

Optimal Number of Clusters

Introduction to Machine Learning

Understanding the ML Pipeline

Data Preparation

Formatting Data

Data Transformation

Building ML models

Analyzing ML models

Jenkins

Continuous Integration

GitHub

Committing

Merging

Branches

Creating Pull Requests

Version Control

Containerising

Continuous Integration

Docker

Docker Best practices

Optimizing Docker Files

Docker

Docker Storage

Docker Network

Docker Compose

Docker

grafana

prometheus

Docker Monitoring

Docker

Docker swarm

Orchestration

AWS ECR

AWS ECS

Docker

grafana

prometheus

Docker Monitoring

Spring boot

Deployment

Containerization

YAML files

Kubernetes Architecture

R Commands

R Packages

R Functions

R Datatypes

Operators in R

RStudio

Big Data basics

Hadoop

HDFS

Hive basics

Hive querying

Hive data upload

Hive simple operations

Spark

RDDs

Hadoop