Data Science & AI

Python,

statistics,

NumPy,

Pandas,

Machine Learning ,

visualization,

EDA,

Data Processing,

Simple Linear Regression,

Multiple Linear Regression,

ML model ,

Decision Tree,

Random Forest,

Boosting Stacking ,

KNN ,

Naive Bayes ,

Model Evolution & Tuning ,

NLP ,

Time series Forecasting,

Deployment

Python

Introduction, Python Operator and datatypes, conditional statements, Data Structure, Lamda function

Numpy

Numpy Insurance, Numpy casestudy

Pandas

Pandas 1, Pandas 2 NA sort group, Pandas 3 Casestudy healthcare

Visualization

Matplotlib Visualization, Seaborn Visualization, Casestudy Matplot, Seaborn, Plotly

EDA

EDA, Tranform FeatureEngg

Data Preprocessing

Data wragling File Handling, Data Preprocessing

Statistics

Descriptive stats, Inferential stats, Probabilty, Hypothesis Tesing 1, Hypothesis test case study python prog, Type 1 Type 2 Error

Multiple Linear Regression

MLR Evaluation Techniques, Multi Linear Reg Python, Non Linear Polynomial

Logistic Regression ML Model

Logistic Case study claimant, Logistic Regr Python Churn, Logistic Regression Concept

Decison Tree

Decision Tree Concept, Dec Tree Gini Python imple, Decison Tree Case study Mushroom

Random Forest

Random Forest Concept, Random Forest Maths, Python red wine Random Forest

Boosting and Stacking

AdaBoost, Gardient Boosting, Stacking Ensemble

KNN

KNN Case study Diabetic, KNN Concept python

Naive Bayes

Naive Bayes, Naive Bayes Titanic Python Case study

Unsupervised Learning K

Unsupervised ML Clustering, K-means Algo, Kmeans Python Univ, Hirarchical Clustering, Hirarchical Customer Segment, PCA Concept Casestudy

Model Evaluation and Tuning

Cross Validation Techniques

NLP

NLP Concept Token, NLP lemit stemming, NLP Case study stemVslemat, TF IDF NLP case study, NLP NB Email Spam

Time Series Forecasting

Time Series Concept, Time Series visuali data prep, TimeSeries Stationarity, ACF PACF, ARIMA Model, SARIMA Model Forecasting

Project

Project and Deployement

100% Practical