Pinned Repositories
chatBot
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.
cyber-physical-systems
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
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.
seunshix's Repositories
seunshix/chatBot
seunshix/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.
seunshix/css-exercises
Forked from ToP(CSS Exercises)
seunshix/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.
seunshix/Hypothesis-Testing
seunshix/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
seunshix/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.
seunshix/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.
seunshix/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.
seunshix/identification_card_tampering_app
seunshix/LA-Crime-Analysis
seunshix/LeetCode
Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub)
seunshix/linear_regression
Learning the concept and Uses of Linear Regression on certain datasets
seunshix/Lyft_Virtual_Internship_Experience
seunshix/machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
seunshix/machineLearning
AI algorithms created
seunshix/overthewire
seunshix/Sorting-Algorithms-in-CPP
seunshix/Tech-Interview-Prep
Suhyun algorithms and my implementations in Python
seunshix/What-am-I-learning-