Store | Machine Learning Plus

Step 1: Data Science Programming Specialization - Level I

Foundations of Machine Learning

31 Lessons | 2h 26m

Python Programming

50 Lessons | 5h 40m

Numpy for Data Science

44 Lessons | 3h 9m

Pandas for Data Science

115 Lessons | 6h 37m

Step 1: Data Science Programming Specialization - Level II

Linux Command Line

19 Lessons | 1h 31m

SQL for Data Science - Level I

28 Lessons | 2h 30m

SQL for Data Science - Level II

25 Lessons | 1h 35m

SQL for Data Science - Level III

11 Lessons | 1h 17m

Step 1: Data Science Programming Specialization - Level III

SQL for Data Science - Window Functions

Step 2: Machine Learning Specialization - Level I

Linear Algebra for Machine Learning

19 Lessons | 1h 51m

Statistics for Data Science

Actively Updating

Data Pre-processing and EDA

98 Lessons | 7h 7m

Linear Regression and Regularisation

54 Lessons | 7h 22m

Step 2: Machine Learning Specialization - Level II

Classification: Logistic Regression

35 Lessons | 4h 47m

Imbalanced Classification

25 Lessons | 2h 48m

Supervised ML Algorithms

57 Lessons | 7h 26m

Ensemble Learning

20 Lessons | 2h 12m

Step 2: Machine Learning Specialization - Level III

Fixed and Mixed Effects Modelling

8 Lessons | 1h 04m

Recommendation System - Deep Dive

11 Lessons | 1h 50m

Explaining Machine Learning Models - Deep Dive

13 Lessons | 2h 28m

Step 3: MLOps Specialization - Level I

ML Deployment in AWS EC2

19 Lessons | 1h 59m

Deploy in AWS Lambda

9 Lessons | 52m

Deploy in AWS Sagemaker

Selva Prabhakaran

PySpark for Data Science - I: Fundamentals

24 Lessons | 2hr 4m

Step 3: MLOps Specialization - Level II

PySpark for Data Science - II: Statistics for Big Data

22 Lessons | 1hr 21m

PySpark for Data Science - III: Data Cleaning and Analysis Methods

21 Lessons | 1hr 14m

PySpark for Data Science - IV: Machine Learning

25 Lessons | 1h 22m

PySpark for Data Science - V: ML Pipelines

17 Lessons | 1h 9m

Step 3: MLOps Specialization - Level III

MLFlow in Action: Hands on guide to ML experiments

13 Lessons | 1h 10m

Step 4: Time Series Forecasting Specialization - Level I

Introduction to Time Series Analysis

31 Lessons | 3h 36m

Step 4: Time Series Forecasting Specialization - Level II

Time Series Analysis - I (Beginners)

Selva Prabhakaran

Time Series Analysis - II (Intermediate)

Selva Prabhakaran

Time Series Forecasting Part 1 - Statistical Models

16 Lessons | 2h

Time Series Forecasting Part 2 - ARIMA Modeling and Tests

15 Lessons | 1h 47m

Step 4: Time Series Forecasting Specialization - Level III

Time Series Forecasting Part 3 - Vector Auto Regression Methods

27 Lessons | 2h 44m

Time Series Analysis - III: Singular Spectrum Analysis (SSA)

18 Lessons | 1h 58m

Feature Engineering for Time Series Projects - I

16 Lessons | 1h 30m

Feature Engineering for Time Series Projects - II

15 Lessons | 2h 16m

Step 5: Industry Projects Specialization -I

Portfolio Project: Estimating Customer Lifetime Value for Business CLTV

31 Lessons | 3h 33m

Portfolio Project: Microsoft Malware Detection Project

41 Lessons | 4h 53m

Portfolio Project: Credit Card Fraud Detection for Vesta

51 Lessons | 5h 12m

Portfolio Project: Restaurant Visitor Forecasting for Recruit

57 Lessons | 4h 58m

Step 5: Industry Projects Specialization -II

Portfolio Project: Optimizing marketing spend using Market Mix Modeling (MMM)

35 Lessons | 4h 20m

Portfolio Project: Predict Rating given Amazon Product Reviews using NLP

25 Lessons | 1h 58m

Uplift modeling: Estimating incremental impact of Marketing Campaigns

11 Lessons | 1h 28m

Uplift Modeling Part 2: Modeling Strategies

18 Lessons | 1h 21m

Step 5: Industry Projects Specialization -III

Survival Analysis: Predicting Time to Event in real world applications

16 Lessons | 1h 07m

Survival Analysis Part 2: Predicting Time to Event for Lungs Cancer Patients

13 Lessons | 1h 30m

Attribution Models in Marketing

18 Lessons | 1h 34m

Dynamic pricing using Multi Armed Bandit (Reinforcement Learning)

14 Lessons | 1h 46m

Step 5: Industry Projects Specialization -IV

Reinforcement learning for Online Ad Serving with Multi Armed Bandits

14 Lessons | 1h 40m

Portfolio Optimization of volatile assets: Efficient Frontier (Python)

15 Lessons | 1h 14m

Conjoint Analysis - Project Deep Dive

12 Lessons | 1h 18m

Step 6 Deep Learning Specialization - I

Foundations of Deep Learning in Python

18 Lessons | 1h 05m

Foundation of Deep Learning - Part 2

30 Lessons | 1h 01m

Applied Deep Learning with PyTorch

42 Lessons | 1h 37m

Detecting Defects in Steel Sheets with Computer Vision

24 Lessons | 1hr 28m

Step 6 Deep Learning Specialization - II

Project: Text Generation using Language Models with LSTM

15 Lessons | 31m

Project: Classifying Sentiment of Reviews using BERT (NLP)

18 Lessons | 28m

Step 7: Generative AI

Mastering Langchain: Part 1

Actively Updating

Step 8: Supplementary Courses - Level I

Base R Programming

79 Lessons | 6h 50m

Dplyr for data wrangling

14 Lessons | 38m

Wrangling data with Data.Table

16 Lessons | 52m

Step 8: Supplementary Courses - Level II

GGPlot2 visualization for data analysis

27 Lessons | 1h 17m

Statistical Foundations for ML in R

46 Lessons | 3h 22m

Regression modeling in R

67 Lessons | 5h 9m

Step 8: Supplementary Courses - Level III

Spacy for NLP

66 Lessons | 4h 29m

Caret package in R

31 Lessons | 2h 1m