Forwarded from DLeX: AI Python (Farzad)
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
#ΩΎΨ±ΩΪΩ #Ω ΩΨ§Ψ¨ΨΉ #Ψ§ΩΪ―ΩΨ±ΫΨͺΩ ΩΨ§ #ΫΨ§Ψ―Ϊ―ΫΨ±Ϋ_Ω Ψ§Ψ΄ΫΩ #ΩΩΨ΄_Ω Ψ΅ΩΩΨΉΫ #ΨΉΩΩ _Ψ―Ψ§Ψ―Ω #ΩΎΨ§ΫΨͺΩΩ
βοΈ @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
#ΩΎΨ±ΩΪΩ #Ω ΩΨ§Ψ¨ΨΉ #Ψ§ΩΪ―ΩΨ±ΫΨͺΩ ΩΨ§ #ΫΨ§Ψ―Ϊ―ΫΨ±Ϋ_Ω Ψ§Ψ΄ΫΩ #ΩΩΨ΄_Ω Ψ΅ΩΩΨΉΫ #ΨΉΩΩ _Ψ―Ψ§Ψ―Ω #ΩΎΨ§ΫΨͺΩΩ
βοΈ @AI_Python
Forwarded from AI with Papers - Artificial Intelligence & Deep Learning
AI with Papers - Artificial Intelligence & Deep Learning
π Drag-GAN: user-friendly image-manipulation π π Manual deforming of (real and generated) images over pose, shape, expression and layout. πReview https://bit.ly/3BFyXlR πPaper arxiv.org/pdf/2305.10973.pdf πProject vcai.mpi-inf.mpg.de/projects/DragGANβ¦
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π₯π₯ Source Code of Drag-GAN IS OUT! | Alessandro Ferrari | 40 comments
π₯π₯ Source Code of Drag-GAN IS OUT! π₯π₯
πManual deforming of (real and generated) images over pose, shape, expression and layout. Source Code just released a few hours ago π
ππ’π π‘π₯π’π π‘ππ¬:
β Max Planck + MIT + #Google AR/VR = π€―
β Supervising handle points to moveβ¦
πManual deforming of (real and generated) images over pose, shape, expression and layout. Source Code just released a few hours ago π
ππ’π π‘π₯π’π π‘ππ¬:
β Max Planck + MIT + #Google AR/VR = π€―
β Supervising handle points to moveβ¦
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