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convolutional_neural_networks

Preprocessed the USPS dataset, implemented and compared different network architectures and optimization techniques, applied regularization techniques such as ensembling and dropout, performed adversarial training to evaluate network robustness, and evaluated network performance using metrics such as accuracy, precision, and recall.

css-exercises

Forked from ToP(CSS Exercises)

customer-segmentation-report-for-arvato-financial-services

The analysis involved data preprocessing to handle missing values, feature engineering, and feature scaling, followed by dimensionality reduction using PCA. K-means clustering was then used to cluster customers into segments, which were analyzed and validated against a general population dataset.

hypothesis-testing

identification_card_tampering_app

la-crime-analysis

leetcode

Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub)

linear_regression

Learning the concept and Uses of Linear Regression on certain datasets

lyft_virtual_internship_experience

machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

machinelearning

AI algorithms created

natural_language_system_disaster_response

Developed a natural language processing system to automatically categorize disaster-related messages using techniques such as stopwords, lemmatization, countvectorizer, and tdidf transformer. Analyzed different machine learning algorithms and used grid search to find the best parameters for the model. Created an ETL pipeline to clean and preprocess

overthewire

recommendation_systems

Performed EDA, created user-article matrix, calculated similarity using dot product, implemented Rank-Based, User-User CF, Content-Based, and Matrix Factorization, evaluated model with precision, recall, and F1-score.

recurrent_neural_networks

Explored the application of an LSTM-based RNN to analyze protein sequences and evaluate its ability to capture long-range dependencies. Generated new protein sequences and created 3-gram language models based on the trained network.

seattleairbnb2016analysis

Analyzed Seattle Airbnb data to describe neighborhoods, determine best times to visit, and track trends in listings and visitors. Used NLP, visualization, and time series analysis.

sorting-algorithms-in-cpp

tech-interview-prep

Suhyun algorithms and my implementations in Python

what-am-i-learning-