Roadmap to become a Visual-SLAM developer in 2026.
Key parameters and specifications
Key parameters and specifications
Parameter
Value
Language
Jupyter Notebook
Category
Tutorials
Subcategory
ML/AI fundamentals
Stars
1,837
Forks
771
Contributors
4
Created date
2018-09-15
Updated date
2026-10-13
Stars in 1 day
0
Stars in 7 days
1
Rank
9,395
Previous rank
9,436
Rank change
41
7-day stars rank
9,598
Previous 7-day stars rank
9,647
7-day stars rank change
49
Total stars rank
6,822
Previous total stars rank
6,817
Total stars rank change
-5
Country
India
README summary
In person training - Machine Learning Git Codebook **Lesson 1 :** Introduction to Numpy (Video) **Lesson 2 :** Data Wrangling using Pandas **Lesson 3 :** Plotting in Python **Lesson 4 :** Linear Models for Regression & Classification **Lesson 5 :** Preprocessing Data **Lesson 6 :** Decision Trees **Lesson 7 :** Naive Bayes **Lesson 8 :** Composite Estimators **Lesson 9 :** Model Selection and Evaluation **Lesson 10 :** Feature Selection Techniques **Lesson 11 :** Nearest Neighbors **Lesson 12 :** Clustering Techniques **Lesson 13 :** Anomaly Detection **Lesson 14 :** Support Vector Machines **Lesson 15 :** Dealing with Imbalanced
Classes **Lesson 16 :** Ensemble Methods Case Study of Classic ML Problems **Case 1 :** Linear Regression **Case 2 :** Cancer Prediction **Case 3 :** Online Learning **Case 4 :** Customer Churn Prediction **Case 5 :** Income Prediction **Case 6 :** Predicting Employee Exit **Case 7 :** Face Generation **Case 8 :** Finding Similar Houses The Free courses available on EdYoda **Python** - **Angular** - **Machine Learning** - **Dog Breed Prediction Project** - **AI Project - Web application for Object Identification** - **Numpy** - **Tensorflow** - **Amazon Web Services** - **DevOps** - **Android** - **Deep Reinforcement Learning** - **Knowledge Graphs, Deep
Learning, Reasoning** - **Natural Language Processing** - **GAN Miniseries** - **Implementing Java Api's work** - **Introduction to Neural Nets** - **Videos from deep cognition studio** - About Us We want to democratize education and create free quality course content.
Frequently asked questions
How many stars and forks are recorded?
edyoda/data-science-complete-tutorial has 1,837 stars and 771 forks.
What is the repository rank?
edyoda/data-science-complete-tutorial is ranked 9,395.
What language and category are recorded?
edyoda/data-science-complete-tutorial has 1,837 stars, uses Jupyter Notebook and belongs to Tutorials.
Which repository is closest in rank?
edyoda/data-science-complete-tutorial is compared with xiaohu2015/DeepLearning_tutorials, ranked 9,386 with 1,842 stars.