3/21/23, 9:22 AM Data-Science-ML-Full-Stack/README.md at master · hemansnation/Data-Science-ML-Full-Stack
hemansnation / Data-Science-ML-Full-Stack Public
Code Issues 3 Pull requests 3 Actions Projects Wiki Security Insights Se
master
Data-Science-ML-Full-Stack / projects / README.md
hemansnation Update README.md
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Projects with Resources
These topics are divided with resources in this format:
Project Name
Code & Github Links
Blogs List
Research Papers
paperwithcode Links
Go to Person
Companies working on the same Project
Endless projects in Machine Learning, Data Science, Computer Vision, NLP, Data
Engineering, Analytics, Business Problems
1. Customer Segmentation
2. Breast Cancer Detection
3. Car And Pedestrian Tracker
4. Car Price Prediction
5. Cifar-10
6. Income Classification using ML
7. Startups Success Rate Prediction
8. Bigmart Sales Prediction Analysis
9. Wine Quality Prediction Analysis
10. Turkiye Student Evaluation Analysis
11. Traffic Forecast
12. Million Songs Dataset
13. Loan Prediction Analysis
14. Iris dataset analysis
15. Image to Text Conversion & Extraction
16. Face Detection (OpenCV)
17. IMDb sentiment review Analysis using ML
https://github.com/hemansnation/Data-Science-ML-Full-Stack/blob/master/projects/README.md 1/14
, 3/21/23, 9:22 AM Data-Science-ML-Full-Stack/README.md at master · hemansnation/Data-Science-ML-Full-Stack
18. Boston Housing Prediction Analysis
19. Black Friday Sales Prediction Analysis
20. Bike Sharing Demand Analysis
21. Data Scientist's Salary Prediction
22. Diabetes Classification
23. Heart Disease Prediction
24. First Innings Score Prediction
25. Mall Customer Segmentation
26. Predicting Admission into UCLA
27. Predicting House Prices in Bengaluru
28. Advandced Hyperparameter Tunning
29. House Price Prediction Detailed Analysis
30. Heart Disease Prediction
31. Sentiment Analysis
32. Clustering - Mall Customer Segmentation
33. Clustering - KMeans Clustering for Imaginary Analysis
34. China GDP Estimation
35. Clustering -Turkiye Student Evaluation Analysis
36. SMS Spam Detection Analysis
37. Text Summarization using Word Frequency
38. California Housing
39. Ad Demand Forecast 40.Article Recording System.
40. Autoencoder for customer churn
41. Bayesian Logistic Regression Bank marketing
42. Bayesian Statistics 44.BOW TFIDF XGboost Update
43. Autoencoder For Bank Employee Retention 46.Mercari Price Suggestion Lightgbm
44. Modeling House Price with Regularized 48.Linear Model _ XGboost
45. Nhanes Confidence Intervals
46. Nhanes hypothesis testing
47. Practical Statistics House Demand Analysis. Price Elasticity of Demand Analysis
48. Promotional Time Series
49. PySpark Advance Algorithms Practice Recommender Systems
50. Regression Diagnostics Seattle Hotels Recommender
51. Solving A Simple Classification Problem with Python Beef analysis
52. Text Classification Keras
53. Text Classification Keras consumer complaints
54. Time Series Forecastings
55. TPOT Mercedes 60.Weather Data Classification using Decision Trees Weather Data Clustering using k
56. Working with Databases
57. Xgboost_bow_tfidf
58. Building Recommended system 64.Building Recommender system with surprise
59. CLV _non_contractual
60. CLV_online_Retail
61. Collaborative Filtering Model with TensorFlow 68.Consumer complaints
62. Customer Segmentation Online Retail
63. Customer Segmentation Whosale Employee Turnover
https://github.com/hemansnation/Data-Science-ML-Full-Stack/blob/master/projects/README.md 2/14
hemansnation / Data-Science-ML-Full-Stack Public
Code Issues 3 Pull requests 3 Actions Projects Wiki Security Insights Se
master
Data-Science-ML-Full-Stack / projects / README.md
hemansnation Update README.md
1 contributor
673 lines (660 sloc) 27.1 KB
Projects with Resources
These topics are divided with resources in this format:
Project Name
Code & Github Links
Blogs List
Research Papers
paperwithcode Links
Go to Person
Companies working on the same Project
Endless projects in Machine Learning, Data Science, Computer Vision, NLP, Data
Engineering, Analytics, Business Problems
1. Customer Segmentation
2. Breast Cancer Detection
3. Car And Pedestrian Tracker
4. Car Price Prediction
5. Cifar-10
6. Income Classification using ML
7. Startups Success Rate Prediction
8. Bigmart Sales Prediction Analysis
9. Wine Quality Prediction Analysis
10. Turkiye Student Evaluation Analysis
11. Traffic Forecast
12. Million Songs Dataset
13. Loan Prediction Analysis
14. Iris dataset analysis
15. Image to Text Conversion & Extraction
16. Face Detection (OpenCV)
17. IMDb sentiment review Analysis using ML
https://github.com/hemansnation/Data-Science-ML-Full-Stack/blob/master/projects/README.md 1/14
, 3/21/23, 9:22 AM Data-Science-ML-Full-Stack/README.md at master · hemansnation/Data-Science-ML-Full-Stack
18. Boston Housing Prediction Analysis
19. Black Friday Sales Prediction Analysis
20. Bike Sharing Demand Analysis
21. Data Scientist's Salary Prediction
22. Diabetes Classification
23. Heart Disease Prediction
24. First Innings Score Prediction
25. Mall Customer Segmentation
26. Predicting Admission into UCLA
27. Predicting House Prices in Bengaluru
28. Advandced Hyperparameter Tunning
29. House Price Prediction Detailed Analysis
30. Heart Disease Prediction
31. Sentiment Analysis
32. Clustering - Mall Customer Segmentation
33. Clustering - KMeans Clustering for Imaginary Analysis
34. China GDP Estimation
35. Clustering -Turkiye Student Evaluation Analysis
36. SMS Spam Detection Analysis
37. Text Summarization using Word Frequency
38. California Housing
39. Ad Demand Forecast 40.Article Recording System.
40. Autoencoder for customer churn
41. Bayesian Logistic Regression Bank marketing
42. Bayesian Statistics 44.BOW TFIDF XGboost Update
43. Autoencoder For Bank Employee Retention 46.Mercari Price Suggestion Lightgbm
44. Modeling House Price with Regularized 48.Linear Model _ XGboost
45. Nhanes Confidence Intervals
46. Nhanes hypothesis testing
47. Practical Statistics House Demand Analysis. Price Elasticity of Demand Analysis
48. Promotional Time Series
49. PySpark Advance Algorithms Practice Recommender Systems
50. Regression Diagnostics Seattle Hotels Recommender
51. Solving A Simple Classification Problem with Python Beef analysis
52. Text Classification Keras
53. Text Classification Keras consumer complaints
54. Time Series Forecastings
55. TPOT Mercedes 60.Weather Data Classification using Decision Trees Weather Data Clustering using k
56. Working with Databases
57. Xgboost_bow_tfidf
58. Building Recommended system 64.Building Recommender system with surprise
59. CLV _non_contractual
60. CLV_online_Retail
61. Collaborative Filtering Model with TensorFlow 68.Consumer complaints
62. Customer Segmentation Online Retail
63. Customer Segmentation Whosale Employee Turnover
https://github.com/hemansnation/Data-Science-ML-Full-Stack/blob/master/projects/README.md 2/14
