TatevKaren
Machine Learning | Deep Learning | NLP Technology is best when it brings people together 👩🏻🔬 👩🏻💻
LunarTech
Pinned Repositories
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)
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
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)
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.
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.
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)
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.
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.
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)
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.
TatevKaren's Repositories
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.
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.
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.
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)
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)
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.
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
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.
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)
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)
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
TatevKaren/PySpark_Tutorial
PySpark Tutorial
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)
TatevKaren/TatevKaren
Profile Page
TatevKaren/DataStructuresAlgorithmsCourse
TatevKaren/ML-Clustering-in-Python
Clustering methods in Machine Learning
TatevKaren/Flower-Classification-with-Deep-Learning
TatevKaren/Simple-convolutional-neural-network
Simple Convolutional Neural Network
TatevKaren/CaseStudies
TatevKaren/css-in-readme-like-wat
Style your readme using CSS with this simple trick
TatevKaren/forex-python
Foreign exchange rates, Bitcoin price index and currency conversion using ratesapi.io
TatevKaren/Python-For-Data-Science
TatevKaren/size-limit
Calculate the real cost to run your JS app or lib to keep good performance. Show error in pull request if the cost exceeds the limit.
TatevKaren/CaseStudy_Anomaly_Detection_Machine_Learning
TatevKaren/Contrastive-Tension
State of the art Semantic Sentence Embeddings
TatevKaren/llama3
The official Meta Llama 3 GitHub site
TatevKaren/NLP
Natural Language Preprocessing
TatevKaren/shields
Concise, consistent, and legible badges in SVG and raster format
TatevKaren/Simple-Job-Recommender-System
TatevKaren/torchtune
A Native-PyTorch Library for LLM Fine-tuning