Contain all measure projects of data science
These are my top notebooks. I have covered alot of machine learning and deep learning algorithms.
Skills |
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•Python •C/C++ •Excel •Tableau •PowerBI |
•SQL •MYSQL •SQLite •Google BigQuery •IBM DB2 •SQLServer •Mongodb |
•Machine Learning •NLP •Hugging Face |
•Scikit-Learn •Tensorflow •numpy •Pandas •Matplotlib •Seaborn •Selenium •BeautifulSoup |
•Git •GitHub |
•Django •FastAPIs •Flask •HTML •CSS •JS |
S.No | Competitions/Repo Name | Dataset | Model | Notebook/Git Repo Links |
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1. | Sastaticket Competition- 2nd Runnerup | • Time Series | LSTM | https://drive.google.com/file/d/15d3Ou7CbUapZWUmlPTboXNK-Vy2NuhqO/view?usp=sharing |
2. | 30 Days ML by Kaggle | • Tabular Data • Regression | • Decision Tree • SVM • Catboost • Linear Regression | https://www.kaggle.com/code/moizkhan11/30-days-ml-competition |
3. | Housing Price Competition | • Regression | • Random Forest | https://www.kaggle.com/code/moizkhan11/exercise-house-price-top-15 |
4. | BCG Academic | • Energy and Electricity | https://github.com/Moiz-khan/Data_Science/tree/master/Internships/BCG_academicWork_Internship |
S.No | Competitions/Repo Name | Dataset | Model | Notebook/Git Repo Links |
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1. | Movie Recommender with KNN | • tmdb_5000 credits | KNN | https://github.com/Moiz-khan/Recommendation-System/blob/master/%20Movie%20recommender%20with%20KNN.ipynb |
2. | Content based Movie Recommender | • tmdb_5000 movies | • sigmoid score • TfidfVectorizer | https://github.com/Moiz-khan/Recommendation-System/blob/master/Content%20based%20Recommendation%20System.ipynb |
3. | Movie Recommender with CSR | • tmdb_5000 movies | • cosine similarity | - |
4. | Book Recommendion System in FYP | • book rating and reviews | • Hybrid Filtering | https://github.com/Moiz-khan/Recommendation-System/tree/master/Book%20Recommendation |
S.No | Competitions/Repo Name | Dataset | Model | Notebook/Git Repo Links |
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1. | UltraMnist | Complex Images with many numbers • Classification | • CNN | Update Soon |
2. | Digit Recognizer | Number Image • Classification | • CNN • Tensorflow | https://www.kaggle.com/code/moizkhan11/digitrecognizer-99-acc |
3. | Pakistan Stock Exchange (KSE 100) | Time Series | • LSTM | https://www.kaggle.com/code/moizkhan11/pakistanstockexch |
S.No | Competitions/Repo Name | Dataset | Model | Notebook/Git Repo Links |
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1. | Self Learning | • Product Reviews classification •SPAM classification | •Pretrained Bert • Fine-Tuning Bert | 1. https://colab.research.google.com/drive/1cplJE-1lEK3P0HuPgAnZFcX_2lTJHlcy#scrollTo=4IYEcsvJpR2A 2. https://colab.research.google.com/drive/187pa9OGauupyUWNB-xg2d8RXp1dvQcrM |
2. | IMDB50k Movie Review Classification | •IMDB50k Movie Review (kaggle) | •MultinomialNB •TF-IDF | https://www.kaggle.com/code/moizkhan11/imdb50k-movie-review-classification |
3. | Fake News Classification | •Fake News (kaggle) | •LSTM b/c of context switching | https://www.kaggle.com/code/moizkhan11/fakenews-classifier |
S.No | Competitions/Repo Name | Dataset | Model | Notebook/Git Repo Links |
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1. | LSTM Research | • Pakistan Stock Exchange | LSTM | https://github.com/Moiz-khan/Data_Science/tree/master/LSTM_Research |