
These are my top notebooks. Many people like my work and upvote my notebook. In the competitions, I have covered alot of machine learning and deep learning algorithms. I have also learn different data pre-processing techniques.
S.No | Competitions Name | Dataset | Model | Notebook Links |
---|---|---|---|---|
1. | Sastaticket Competition | • Time Series | Decision Tree | https://drive.google.com/file/d/15d3Ou7CbUapZWUmlPTboXNK-Vy2NuhqO/view?usp=sharing |
2. | UltraMnist | Complex Images with many numbers • Classification | • CNN | Update Soon |
3. | Digit Recognizer | Number Image • Classification | • CNN • Tensorflow | https://www.kaggle.com/code/moizkhan11/digitrecognizer-99-acc |
4. | Pakistan Stock Exchange (KSE 100) | Time Series | • LSTM | https://www.kaggle.com/code/moizkhan11/pakistanstockexch |
5. | 30 Days ML by Kaggle | • Tabular Data • Regression | • Decision Tree • SVM • Catboost • Linear Regression | https://www.kaggle.com/code/moizkhan11/30-days-ml-competition |
6. | Housing Price Competition | • Regression | • Random Forest | https://www.kaggle.com/code/moizkhan11/exercise-house-price-top-15 |
7. | Hyper Parameter Optimization | • Continuous Variables | • Optuna Library | https://www.kaggle.com/code/moizkhan11/optuna |
8. | Pakistan's Largest E-Commerce Dataset | • Continuous & Categorical Variables | • Seaborn • Matplotlib • Data Analytics | https://www.kaggle.com/code/moizkhan11/ecommerce-v2-3 |
and many more Visit my Kaggle profile!