← Open Source
edyoda

data-science-complete-tutorial

For extensive instructor led learning.

TutorialsML/AI fundamentalsJupyter Notebook
Open on GitHub
Momentum
+0stars in 24 hours0.0%
1.84k
Stars
771
Forks
+1
This week
4
Contributors
Created 2018-09-15 · Updated 2026-10-13 · #9395 today
Top developers
awantikcrazymusevaibhav-lone

edyoda/data-science-complete-tutorial is ranked 9,395 with 1,837 stars.

Same-category comparison

edyoda/data-science-complete-tutorial is ranked 9,395 among these 8 peers; xiaohu2015/DeepLearning_tutorials is ranked 9,386.

Same-category comparison
NameRankMetrics
AssemblyAI-Community/ML-Study-Guide9,362
Stars:
1,854
Forks:
366
Description:
Minimal Machine Learning Study Plan.
Mathews-Tom/Agentic-Design-Patterns9,376
Stars:
1,848
Forks:
363
Description:
Agentic Design Patterns.
GauravBh1010tt/DeepLearn9,377
Language:
Python
Stars:
1,846
Forks:
348
Description:
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
xiaohu2015/DeepLearning_tutorials9,386
Language:
Jupyter Notebook
Stars:
1,842
Forks:
755
Description:
The deeplearning algorithms implemented by tensorflow.
openai/openai-quickstart-python9,410
Stars:
1,828
Forks:
1,352
Description:
Python example app from the OpenAI API quickstart tutorial.
kk7nc/Text_Classification9,431
Language:
Python
Stars:
1,817
Forks:
534
Description:
Text Classification Algorithms: A Survey.
tsyw/MachineLearningNotes9,440
Stars:
1,812
Forks:
439
Description:
My personal notes.
changh95/visual-slam-roadmap9,441
Language:
Astro
Stars:
1,811
Forks:
179
Description:
Roadmap to become a Visual-SLAM developer in 2026.
Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguageJupyter Notebook
CategoryTutorials
SubcategoryML/AI fundamentals
Stars1,837
Forks771
Contributors4
Created date2018-09-15
Updated date2026-10-13
Stars in 1 day0
Stars in 7 days1
Rank9,395
Previous rank9,436
Rank change41
7-day stars rank9,598
Previous 7-day stars rank9,647
7-day stars rank change49
Total stars rank6,822
Previous total stars rank6,817
Total stars rank change-5
CountryIndia
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.

README

In person training - https://www.edyoda.com/program/data-scientist-program

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 - https://www.edyoda.com/course/98

Angular - https://www.edyoda.com/course/1227

Machine Learning - https://www.edyoda.com/course/1416

Dog Breed Prediction Project - https://www.edyoda.com/course/1336

AI Project - Web application for Object Identification - https://www.edyoda.com/course/1185

Numpy - https://www.edyoda.com/course/1263

Tensorflow - https://www.edyoda.com/course/99

Amazon Web Services - https://www.edyoda.com/course/1410

DevOps - https://www.edyoda.com/course/100

Android -
https://www.edyoda.com/course/101
https://www.edyoda.com/course/1173

Deep Reinforcement Learning - https://www.edyoda.com/course/1421

Knowledge Graphs, Deep Learning, Reasoning - https://www.edyoda.com/course/1420

Natural Language Processing - https://www.edyoda.com/course/1419

GAN Miniseries - https://www.edyoda.com/course/1418

Implementing Java Api's work - https://www.edyoda.com/channel/2398/

Introduction to Neural Nets - https://www.edyoda.com/channel/2500/

Videos from deep cognition studio - https://www.edyoda.com/channel/2380/

About Us

We want to democratize education and create free quality course content.

Nearby in the ranking
Similar items