Below is a list of 300+ Data Science projects with Python that you can try as a beginner.
Sr. No. | Projects Name | Description | Dataset Used | Notebook/Code | Blog |
---|---|---|---|---|---|
01. | Electric Vehicles Market Size Analysis | ||||
02. | Music Recommendation System using Spotify API | ||||
03. | Website Performance Analysis | ||||
04. | Data Collection using APIs (for Data Engineers) | ||||
05. | Fashion Recommendation System using Image Features | ||||
06. | User Profiling & Segmentation | ||||
07. | Food Delivery Cost and Profitability Analysis | ||||
08. | Delhi Metro Network Analysis | ||||
09. | Quantitative Analysis of Stock Market | ||||
10. | Statistical Modelling | ||||
11. | Health Monitoring & Analysis | ||||
12. | Stock Market Anomaly Detection | ||||
13. | Hypothesis Testing | ||||
14. | End to End Predictive Model | ||||
15. | Multivariate Time Series Forecasting | ||||
16. | Classification on Highly Imbalanced Data | ||||
17. | Compare Multiple ML Models | ||||
18. | EDA for Feature Selection | ||||
19. | Build An Analytics Dashboard | ||||
20. | Text Generation Model | ||||
21. | Car Insurance Modelling | ||||
22. | App Reviews Sentiment Analysis | ||||
23. | Cohort Analysis | ||||
24. | Real Estate Price Prediction | ||||
25. | Ads CTR Forecasting | ||||
26. | Stock Market Comparison Analysis | ||||
27. | Netflix Subscriptions Forecasting | ||||
28. | Search Queries Anomaly Detection | ||||
29. | Text Analysis | ||||
30. | Consumer Behaviour Analysis | ||||
31. | Air Quality Index Analysis | ||||
32. | Market Basket Analysis | ||||
33. | Book Recommendation System | ||||
34. | Fitness Watch Data Analysis | ||||
35. | Demand Forecasting & Inventory Optimization | ||||
36. | Customer Acquisition Cost Analysis | ||||
37. | Dating Recommendations | ||||
38. | Anomaly Detection in Transactions | ||||
39. | Credit Scoring & Segmentation | ||||
40. | Next Word Prediction Model | ||||
41. | Dynamic Pricing Strategy | ||||
42. | Web Data ETL Pipeline | ||||
43. | Demand Forecasting & Inventory Optimization | ||||
44. | A/B Testing of Themes | ||||
45. | Data Preprocessing Pipeline | ||||
46. | User Engagement Analysis | ||||
47. | RFM Analysis | ||||
48. | Stock Market Performance Analysis | ||||
49. | Hybrid Recommendation System | ||||
50. | B2B Courier Charges Accuracy Analysis | ||||
51. | Currency Exchange Rate Forecasting | ||||
52. | Instagram Reach Analysis & Forecasting | ||||
53. | Retail Price Optimization | ||||
54. | Loan Approval Prediction | ||||
55. | Supply Chain Analysis | ||||
56. | End to End Chatbot | ||||
57. | Store Sales & Profit Analysis | ||||
58. | Customer Lifetime Value Analysis | ||||
59. | Exploratory Data Analysis | ||||
60. | Accelerometer Data Analysis | ||||
61. | Recession Analysis | ||||
62. | Demand & Supply Analysis | ||||
63. | Data ETL Pipeline | ||||
64. | Algorithmic Trading | ||||
65. | Food Delivery Time Prediction | ||||
66. | A/B Testing | ||||
67. | Credit Score Classification | ||||
68. | App User Segmentation | ||||
69. | Text Emotions Classification | ||||
70. | T20 World Cup 2022 Analysis | ||||
71. | Weather Forecasting | ||||
72. | Topic Modelling | ||||
73. | Ads Click Through Rate Prediction | ||||
74. | Survey Analysis | ||||
01. | Fashion Recommendation System | ||||
01. | Twitter Timeline in the Stock Market Analysis | ||||
01. | Screen Time Analysis | ||||
01. | Stock Market Analysis | ||||
01. | Social Progress Index Analysis | ||||
01. | Job Recommendation System | ||||
01. | Consumer Complaint Classification | ||||
01. | Business Forecasting | ||||
01. | News Recommendation System | ||||
01. | iPhone Sales Analysis | ||||
01. | Salary Prediction | ||||
01. | Flipkart Sale Analysis | ||||
01. | Credit Card Clustering | ||||
01. | Diamond Price Analysis and prediction | ||||
01. | Step by Step NLP with Python | ||||
01. | Netflix Recommendation System | ||||
01. | House Rent Prediction | ||||
01. | Password Strength Checker with Machine Learning | ||||
01. | Classification Model Evaluation | ||||
01. | Spam Comments Detection | ||||
01. | Website Traffic Forecasting | ||||
01. | Complete Process of NLP with Python | ||||
01. | Restaurant Recommendation System | ||||
01. | Online Food Order Prediction | ||||
01. | Virat Kohli Performance Analysis | ||||
01. | Book Recommendation System | ||||
01. | Time Series Forecasting with ARIMA | ||||
01. | Smartwatch Data Analysis | ||||
01. | IPL 2022 Analysis using Python | ||||
01. | Instagram Recommendation System | ||||
01. | MNIST Digits Classification | ||||
01. | Covid-19 Spread and Impacts Analysis | ||||
01. | Instagram Reach Analysis and Prediction | ||||
01. | Tinder Reviews Sentiment Analysis | ||||
01. | Student Marks Prediction | ||||
01. | Online Payments Fraud Detection | ||||
01. | Waiter Tips Analysis & Prediction | ||||
01. | Tiktok Reviews Sentiment Analysis | ||||
01. | Clustering Music Genres with Machine Learning | ||||
01. | Ukraine vs Russia Twitter Sentiment Analysis | ||||
01. | Stock Price Prediction | ||||
01. | Cryptocurrency Price Prediction for the next 30 days | ||||
01. | Breast Cancer Survival Prediction | ||||
01. | Covid-19 Deaths Prediction | ||||
01. | Flipkart Reviews Sentiment Analysis | ||||
01. | Stock Price Prediction with LSTM Neural Network | ||||
01. | Future Sales Prediction | ||||
01. | Article Recommendation System | ||||
01. | Netflix Stock Price Prediction | ||||
01. | Time Series Analysis | ||||
01. | Classification with Neural Networks | ||||
01. | Stress Detection | ||||
01. | AlexNet Neural Network Architecture | ||||
01. | Visualizing a Machine Learning Algorithm | ||||
01. | Training and Giving Inputs to a Machine Learning Model | ||||
01. | Product Demand Prediction | ||||
01. | Electricity Price Prediction | ||||
01. | Language Detection | ||||
01. | Adding Labels to a Dataset for Sentiment Analysis | ||||
01. | Pfizer Vaccine Sentiment Analysis | ||||
01. | News Classification | ||||
01. | Omicron Variant Sentiment Analysis | ||||
01. | Iris Flower Classification | ||||
01. | Water Quality Analysis | ||||
01. | Twitter Sentiment Analysis | ||||
01. | Squid Game Sentiment Analysis | ||||
01. | Comparison of Classification Algorithms | ||||
01. | Tata Motors Stock Price Prediction | ||||
01. | Health Insurance Premium Prediction | ||||
01. | Movie Rating Analysis for Beginners | ||||
01. | Number of Orders Prediction | ||||
01. | Apple Stock Price Prediction | ||||
01. | Insurance Prediction | ||||
01. | Worldwide Billionaires Analysis | ||||
01. | Unemployment Analysis | ||||
01. | Car Price Prediction Model | ||||
01. | Spam Detection | ||||
01. | Count Objects in Image | ||||
01. | WhatsApp Chats Sentiment Analysis | ||||
01. | WhatsApp Chats Analysis | ||||
01. | Microsoft Stock Price Prediction | ||||
01. | Covid-19 Vaccine Analysis | ||||
01. | Video Game Sales Prediction Model | ||||
01. | Student Grades Prediction Model | ||||
01. | Saving a Machine Learning Model | ||||
01. | Uber Trips Analysis | ||||
01. | Google Search Analysis | ||||
01. | Tesla Stock Price Prediction Model | ||||
01. | Financial Budget Analysis | ||||
01. | Click-Through Rate Prediction Model | ||||
01. | Interactive Language Translator | ||||
01. | Language Detection | ||||
01. | Create a Chatbot with Python | ||||
01. | Best Streaming Service Analysis | ||||
01. | Data Science Project on President Heights | ||||
01. | Data Science Project on Birth Rate Analysis | ||||
01. | Data Science Project on Time Series | ||||
01. | Data Science Project on Area and Population | ||||
01. | A Complete Machine Learning Project Walkthrough | ||||
01. | Text Summarization | ||||
01. | Keyword Extraction | ||||
01. | Sarcasm Detection | ||||
01. | Social Media Followers Prediction | ||||
01. | Amazon Product Reviews Sentiment Analysis | ||||
01. | Hate Speech Detection | ||||
01. | End-to-end Hate Speech Detection System | ||||
01. | End-to-end Fake News Detection System | ||||
01. | End-to-end Spam Detection System | ||||
01. | Hotel Reviews Sentiment Analysis | ||||
01. | Real-time Gender Detection System | ||||
01. | Dogecoin Price Prediction | ||||
01. | Google Play Store Sentiment Analysis | ||||
01. | Amazon Alexa Reviews Sentiment Analysis | ||||
01. | Social Media Ads Classification | ||||
01. | Fake News Detection | ||||
01. | End-to-End Machine Learning Model | ||||
01. | Gender Detection | ||||
01. | Sales Prediction | ||||
01. | Currency Exchange Rate Prediction | ||||
01. | End-to-end Machine Learning Project | ||||
01. | Profit Prediction Model | ||||
01. | Automatic Time Series Forecasting | ||||
01. | Ted-Talks Recommendation System | ||||
01. | Real-time Sentiment Analysis | ||||
01. | Amazon Recommendation System | ||||
01. | Mobile Price Classification | ||||
01. | Future Sales Prediction |
The above list of data science projects contains projects based on classification (Binary and Multiclass), regression, sentiment analysis, text analysis, recommendation systems, and many more. I will update this list of data science projects with more projects regularly.