Projects in Awesome Lists by TatevKaren
A curated list of projects in awesome lists by TatevKaren .
https://github.com/tatevkaren/mathematics-statistics-for-data-science
Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.
bootstrap canonical-correlation clustering data-imputation dimensionality-reduction factor-analysis-methods importance-sampling inverse-transform-method linear-regression monte-carlo-simulation pca-analysis probability-distribution python3 r regression-analysis rejection-sampling statistcal-tests
Last synced: 10 Apr 2025
https://github.com/tatevkaren/data-science-popular-algorithms
Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
data-science-portfolio datascience decision-tree kmeans lda lda-model linear-discriminant-analysis machine-learning movie-recommender python3 recommendation-system scala xgboost
Last synced: 10 Apr 2025
https://github.com/tatevkaren/babygpt-build_gpt_from_scratch
BabyGPT: Build Your Own GPT Large Language Model from Scratch Pre-Training Generative Transformer Models: Building GPT from Scratch with a Step-by-Step Guide to Generative AI in PyTorch and Python
attention-is-all-you-need dropout-layers gpt gpt-3 large-language-models layer-normalization llm-training llms multi-head-self-attention neural-networks python pytorch residual-connections transformers
Last synced: 10 Apr 2025
https://github.com/tatevkaren/tatevkaren-data-science-portfolio
Data Science Portfolio of Tatev Karen Aslanyan including Case Studies and Research Projects that I have completed that solve business problems or introduce new products. Case Study papers, codes, and additional resources are all included.
blog case-study computer-science data-analysis data-science deep-learning econometrics machine-learning papers portfolio portfolio-website statistics
Last synced: 10 Apr 2025
https://github.com/tatevkaren/recurrent-neural-network-pricing-model
Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper, Code)
bitcoin bitcoin-price case-study-paper deep-learning google google-stock-prices keras lstm machine-learning pandas price-prediction recurrent-neural-networks rnn-model scikit-learn stock-price-prediction stock-prices tensorflow
Last synced: 10 Apr 2025
https://github.com/tatevkaren/artificial-neural-network-business_case_study
Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)
ann ann-model artificial-neural-network artificial-neural-networks bank-customers case-study churn-analysis data-science deep-learning machine-learning prediction-model predictive-analytics python3 tensorflow-tutorials
Last synced: 12 Nov 2024
https://github.com/tatevkaren/free-resources-books-papers
Books and Papers in Mathematics, Econometrics, Machine Learning, Finance etc for different levels that can be useful for Data Scientists, Developers and everyone whoo is interesting in STEM.
books data-science databricks delta-lake developers econometrics free-books free-resources machine-learning mathematics statistics
Last synced: 28 Mar 2025
https://github.com/tatevkaren/econometric-algorithms
Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel Data, Heckman_2_Step for selection bias, Hausman Wu test for Endogeneity in Python, R, and STATA.
econometrics endogeneity event-study fixed-effect-model hausman-test heckman-2-step ols ols-regression python r random-effects-model stata statistical-tests test-statistics time-series-analysis
Last synced: 10 Apr 2025
https://github.com/tatevkaren/convolutional-neural-network-image_recognition_case_study
Computer Vision Case Study in image recognition to classify an image to a binary class, based on Convolutional Neural Networks (CNN), with TensorFlow and Keras in Python, to identify from an image whether it is an image of a dog or cat. (Includes: Data, Case Study Paper, Code)
case-study cnn cnn-for-visual-recognition cnn-model computer-vision convolutional-neural-networks deep-learning image-recognition keras machine-learning prediction python tensorflow tensorflow-tutorials
Last synced: 09 Feb 2025
https://github.com/tatevkaren/finance-projects
Case Studies in Finance: Stock Price Valuation using Black-Scholes using Brownian Motions, Investment Project comparing Stocks and Bonds, Determining Pension Fund's Premium. (Case Study Papers and Code)
black-scholes brownian-motion lifeinsurance quantitative-analysis quantitative-finance stochastic-differential-equations stock-valuation
Last synced: 10 Apr 2025
https://github.com/tatevkaren/deep-learning-for-data-science
Deep Learning Case Studies with Tensorflow and Keras for Beginners-Advanced: ANN, CNN, RNN, Self-Organizing Maps, Boltzmann Machines, Stacked Autoencoders
ann artificial-intelligence artificial-neural-networks data-preprocessing data-science deep-learning ds keras modelling modelling-framework neural-networks numpy pandas python scikit-learn sklearn tensorflow
Last synced: 10 Apr 2025
https://github.com/tatevkaren/multivariate-statistics
Case Study in ranking U.S. cities based on a single linear combination of rating variables. Dimensionality techniques used in the analysis are Principal Component Analysis (PCA), Factor Analysis (FA), Canonical Correlation Analysis (CCA)
canonical-correlation-analysis dimensionality-reduction factor-analysis multivariate-analysis multivariate-statistics principal-component-analysis
Last synced: 10 Apr 2025
https://github.com/tatevkaren/simple-convolutional-neural-network
Simple Convolutional Neural Network
cnn deep-learning neural-network
Last synced: 28 Mar 2025
https://github.com/tatevkaren/what-makes-playlist-successful
Product Data Science Case Study: What Makes a Playlist Successful. Use EDA (Exploratory Data Analysis) and Simple Machine Learning to identify the features related to the sucessful playlists.
case-study data-visualization linear-regression machine-learning product-data-science python spotify
Last synced: 28 Mar 2025
https://github.com/tatevkaren/predicting-jop-postings-salary
Predicting Salaries of Job Applications for Job Search Engine Indeed using Machine Learning with Python Implementation
gbm k-fold-cross-validation linear-regression machine-learning metrics ml random-forest xgboost
Last synced: 28 Mar 2025
https://github.com/tatevkaren/nlp
Natural Language Preprocessing
bert chatgpt gpt3 natural-language-processing nlp nltk python python3
Last synced: 28 Mar 2025