28 Sections
28 Lessons
10 Weeks
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Artificial Intelligence
1
1.1
Learn Python Programming: Anaconda Setup, Jupyter Notebook, Coding Basics & Exercises
86 Minutes
Introduction of Artificial Intelligence
1
2.1
Machine Learning & AI Bootcamp: Learn Python, Deep Learning, and Real Projects
42 Minutes
ML with Probability
1
3.1
Machine Learning with Probability: From Basics to Modeling Applications
73 Minutes
Normal & Property Distributions in ML
1
4.1
Learn Normal & Property Distributions for Machine Learning & Statistics
61 Minutes
Normal & Uniform Distributions for Data Science
1
5.1
Normal & Uniform Distributions Explained and Statistics for Machine Learning
66 Minutes
Normal Distribution & Z-Table
1
6.1
How to Solve Normal Distribution Problems and Z-Tables & Standard Deviation Tricks
23 Minutes
Hypothesis Testing & Sampling Basics
1
7.1
Sampling Distribution & Hypothesis Testing and Statistics Class Essentials
86 Minutes
Data Analysis & Statistical Testing
1
8.1
Data Analysis & Statistical Testing and Lab Work, Assumptions & Confidence Explained
47 Minutes
Statistical Testing
1
9.1
Learn Statistical Testing with Examples and More
99 Minutes
Normal Distribution & Data Sampling
1
10.1
Learn Normal Distribution, Sampling, and ML Basics and More
51 Minutes
Data Analysis & Correlation Explained
1
11.1
Learn Data Analysis & Correlation with Practical Examples and Tools
67 Minutes
ML Modeling with Real-World Data
1
12.1
Machine Learning, Graphs & Political Data: Learn Prediction & Modeling
67 Minutes
Linear Regression & Gradient Descent
1
13.1
Learn Linear Regression, Gradient Descent & Feature Selection in Machine Learning
104 Minutes
Visualize Health Data with Plotly in ML
1
14.1
Machine Learning with Plotly: Visualize & Analyze Health and Social Data Effectively
58 Minutes
Handling Missing Data in Machine Learning
1
15.1
How to Handle Missing Values & Improve Data Quality in Machine Learning
74 Minutes
Tune ML Models for Accuracy
1
16.1
Optimize Machine Learning Models: Accuracy, Cross-Validation & Hyperparameter Tuning
113 Minutes
Real Data Cleaning for ML
1
17.1
How to Collect, Clean, and Use Real Data with Missing Values for ML
36 Minutes
Prepare Data for ML Models
1
18.1
How to Prepare Clean & Accurate Data for Machine Learning Models
74 Minutes
ML & Property Investment Basics
1
19.1
Machine Learning, Data Mapping, and Property Investment Explained
64 Minutes
ML Hinglish Code & Projects Fun
1
20.1
Machine Learning Explained in Hinglish: Coding, Projects, and Fun Conversations
152 Minutes
ML Preprocessing & Validation Basics
1
21.1
Machine Learning Preprocessing: From Feature Engineering to Model Validation
49 Minutes
ML Basics Clean Data to Predictions
1
22.1
Machine Learning Fundamentals: From Data Cleaning to Real-World Predictions
77 Minutes
ML Workflow in Python Explained
1
23.1
Machine Learning Using Python: Preprocessing, Cross-Validation & Visualization
63 Minutes
ML Fundamentals and Tune Your Models
1
24.1
Machine Learning Fundamentals: Regression, Preprocessing & Hyperparameter Tuning
87 Minutes
ML Basics to Advanced
1
25.1
Machine Learning Bootcamp: From Jupyter Setup to Advanced Model Tuning
63 Minutes
ata Decisions with ML Tuning
1
26.1
Data-Driven Decisions: From Support Variables to Model Tuning
55 Minutes
Smart Predictions with ML Techniques
1
27.1
Transfer Learning, Logistic Regression & ML Tips for Smarter Decision-Making
55 Minutes
Efficient ML Classification Models
1
28.1
Efficient Classification Models in ML: Accuracy, Time Complexity & Use Cases and More
65 Minutes
AI, ML and DL
Curriculum
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