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Data Science with Harsha
AI in Healthcare
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Data Science with Harsha
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Table of Contents
Visualization
Visualization
Vizualizing tabular data (Python)
Vizualising for predictive analytics (Python)
Univariate Analysis (R)
Multivariate Analysis (R)
Multicollinearity (R)
Statistics basics
Statistics basics
Statistics Basics (Python)
Probability (R)
Vectors (R)
Matrices (R)
Call center distributions (Python)
Hypothesis Testing
Hypothesis Testing
z-test and t-test (R)
ANOVA Test (R)
Chi-Square Goodness of fit (R)
Chi-Square test of independence (R)
Hypothesis testing using Python
Factor Analysis
Factor Analysis
Curse of dimensionality
Exploratory factor analysis (R)
Preprocessing data
Preprocessing data
Null Value Imputation (R)
Feature engineering (Python)
Handling Imbalanced Classes
Prediction algorithms
Prediction algorithms
Classification Algorithms
Classification Algorithms
Logistic Regression (R)
CHAID Decision Trees (R)
CART Classification (R)
Regression Algorithms
Regression Algorithms
Part and partial correlation
Linear Regression (R)
Lasso and Ridge regression (Python)
Machine Learning
Machine Learning
Interactive Machine Learning (RShiny)
Multi models (Python)
Explainable ML (Python)
Streaming Machine Learning (Python)
Time Series forecasting
Time Series forecasting
Introduction to stationarity (R)
Stationary Tests (R)
ARIMA in R
ARIMA in Python
Seasonal time series (R)
VAR Models (R)
Deep learning
Deep learning
Perceptron
Backpropagation
Tensorflow and Keras
Time series (python)
Generative AI
Generative AI
LLM Tokenizers
Prompt Engineering
Agentic AI
RAG
LangGraphs
AI in Healthcare
Prescriptive Analytics
Prescriptive Analytics
Linear Programming (R)
Integer Programming tricks
Inventory Optimisation (Python)
Adoption of new product (R)
Bass Forecasting model (Python)
Analytic Hierarchy Process
Clustering
Clustering
Hierarchical Clustering
K-Means Clustering
DBSCAN Clustering (Python)
Reinforcement Learning
Reinforcement Learning
Customer Lifetime Value
Recommendation Systems (R)
Collaborative Filtering (Python)
Networks
Networks
Introduction to NetworkX (Python)
Network Science (Python)
Network Centrality (Python)
Shortest path using integer programming (Python)
Network flow problems (Python)
Community detection (Python)
Bipartite matching (Python)
Deployment
Deployment
ML deployment in Flask (Python)
Handling databases using python
ORM (Python)
Career lessons
Career lessons
Learnings from failures
Making ML Consumable
Higher education review
Higher education review
IIMB BAI
Part-time DS masters
External blogs
External blogs
Imperial college London
Publications/conferences
Deployed apps
Projects
Projects
Preventive maintainence
Contract Intelligence
Competitor intelligence
Quiz Generation
Intelligent annotation
Demand Forecasting
Bid Allocation
Reward and Recognition contests
Supply chain analytics
Making data science outputs consumable
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