Induction Class

Measure of Central Tendency and Standard Deviation

Basic Probability

Random Variables and Probability Distributions

Normal Distribution

Basic understanding about Python

What is Variable, Class, Data type and Python Keywords

How to start Python Programming for beginner

Basic about Jupyter Notebook

Python Identifiers, Operators, Lines and Identification

How to use String, Index, Join, slash, Input, replace

String, Range, Loops, If, Elif, Else

String operation(slicing, split, Join, if else, for ), break and Continue

List and Tuples

Odd n Even number, Factorial, Fibonacci, While loop, List

Union & Intersection, Sets, Dictionary, Sequence Add n Remove

User Define Dictionary, List Comprehension

Functions & 1st Project on Bulk Msg. through Python

Lambda, Lambda with If Else Condition, Filter Vs Map

Imports and Packages

Doubt Clearing Session

Random, Choice sequence, randint

Regular Expression with use cases

Numpy, array, Attribute ops using Numpy

Pandas, Pandas with COVID data use case

Pandas Operations with use cases(Describe, unique value, count, drop) How to make Query ?

Visualization Tools and Technique with Python

Titanic - EDA How to work on Data Set

Account Creation on Github, Git VCS

Introduction to Statistics

Scales of Measurement

Descriptive statistics

Introduction to probability

covariance, correlation and Basic Statistics

Basic Probability

Bayes Theorem, Central Limit Theorem

inferential statistics, Hypothesis, Hypothesis testing

Framing of Hypothesis and Level of significance and confidence

critical value and Test Statistics

Types of error in Hypothesis testing

T testing Vs Z Testing

EDA/ Business problem understanding

EDA- Univariate, Bivariate Analysis

Generalization

Total error and Linear Solution

Cost Function

Simple linear regression example

Adjusted R Square

EDA and Data set Discussions

Sample solution Discussions

SQL Training Day 1

SQL Training Day 2

SQL Training Day 3

Logistic Regression

Logistic Regression Problems

Logistic Regression Model

Likelihood Ratio Test

Data Set Analysis

Project Problem Statement And Ridge regression

Regularization in Regression

Ridge and Lasso Regression Datasets problems

DBSCAN

Eager Learners vs Lazy Learners part 1

Eager Learners vs Lazy Learners part 2

Eager Learners vs Lazy Learners part 3

KNN Classifier

Decision tree

Boosting

support vector machine

Ensemble Techniques

classification problem

EDA Data set analysis

Feature Engineering

Data set analysis

Types of Sampling

Project Business

Intro to Databases and SQL statements

SQL statements

SQL Group by Statement

SQL Index

SQL View

Window Functions

Keys - Primary and Foreign

Time Series Forecasting vs Prediction

Time Series and OLS

Time Series Components

Stationarity of Time Series

Unit Root Test

Time Series and OLS Part 2

Session 1

Session 2

Session 1

Session 2

Session 1

Session 2

Session 3