Many Data Science aspirants struggle to find good projects to get a start in Data science or #MachineLearning.
Here is the list of few #DataScience projects (found on kaggle), it covers Basics of Python, Advanced Statistics, #SupervisedLearning (Regression and Classification problems)
1. Basic #python and #statistics
Pima Indians : https://www.kaggle.com/uciml/pima-indians-diabetes-database
Cardio Goodness fit : https://www.kaggle.com/saurav9786/cardiogoodfitness
Automobile : https://www.kaggle.com/toramky/automobile-dataset
2. Advanced Statistics
Game of Thrones:
https://www.kaggle.com/mylesoneill/game-of-thrones
World University Ranking:
https://www.kaggle.com/mylesoneill/world-university-rankings
IMDB Movie Dataset: https://www.kaggle.com/carolzhangdc/imdb-5000-movie-dataset
3. Supervised Learning
a) Regression Problems
How much did it rain : https://www.kaggle.com/c/how-much-did-it-rain-ii/overview
Inventory Demand: https://www.kaggle.com/c/grupo-bimbo-inventory-demand
Property Inspection predictiion:
https://www.kaggle.com/c/liberty-mutual-group-property-inspection-prediction
Restaurant Revenue prediction:
https://www.kaggle.com/c/restaurant-revenue-prediction/data
IMDB Box office Prediction:
https://www.kaggle.com/c/tmdb-box-office-prediction/overview
b) Classification problems
Employee Access challenge :
https://www.kaggle.com/c/amazon-employee-access-challenge/overview
Titanic :
https://www.kaggle.com/c/titanic
San Francisco crime:
https://www.kaggle.com/c/sf-crime
Customer satisfcation:
https://www.kaggle.com/c/santander-customer-satisfaction
Trip type classification:
https://www.kaggle.com/c/walmart-recruiting-trip-type-classification
Categorize cusine:
https://www.kaggle.com/c/whats-cooking
#پروژه #منابع #الگوریتمها #یادگیری_ماشین #هوش_مصنوعی #علم_داده #پایتون
❇️ @AI_Python
Here is the list of few #DataScience projects (found on kaggle), it covers Basics of Python, Advanced Statistics, #SupervisedLearning (Regression and Classification problems)
1. Basic #python and #statistics
Pima Indians : https://www.kaggle.com/uciml/pima-indians-diabetes-database
Cardio Goodness fit : https://www.kaggle.com/saurav9786/cardiogoodfitness
Automobile : https://www.kaggle.com/toramky/automobile-dataset
2. Advanced Statistics
Game of Thrones:
https://www.kaggle.com/mylesoneill/game-of-thrones
World University Ranking:
https://www.kaggle.com/mylesoneill/world-university-rankings
IMDB Movie Dataset: https://www.kaggle.com/carolzhangdc/imdb-5000-movie-dataset
3. Supervised Learning
a) Regression Problems
How much did it rain : https://www.kaggle.com/c/how-much-did-it-rain-ii/overview
Inventory Demand: https://www.kaggle.com/c/grupo-bimbo-inventory-demand
Property Inspection predictiion:
https://www.kaggle.com/c/liberty-mutual-group-property-inspection-prediction
Restaurant Revenue prediction:
https://www.kaggle.com/c/restaurant-revenue-prediction/data
IMDB Box office Prediction:
https://www.kaggle.com/c/tmdb-box-office-prediction/overview
b) Classification problems
Employee Access challenge :
https://www.kaggle.com/c/amazon-employee-access-challenge/overview
Titanic :
https://www.kaggle.com/c/titanic
San Francisco crime:
https://www.kaggle.com/c/sf-crime
Customer satisfcation:
https://www.kaggle.com/c/santander-customer-satisfaction
Trip type classification:
https://www.kaggle.com/c/walmart-recruiting-trip-type-classification
Categorize cusine:
https://www.kaggle.com/c/whats-cooking
#پروژه #منابع #الگوریتمها #یادگیری_ماشین #هوش_مصنوعی #علم_داده #پایتون
❇️ @AI_Python
September 17, 2021