TatevKaren / mathematics-statistics-for-data-scienceLinks
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.
☆156Updated last year
Alternatives and similar repositories for mathematics-statistics-for-data-science
Users that are interested in mathematics-statistics-for-data-science are comparing it to the libraries listed below
Sorting:
- Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentati…☆133Updated 2 years ago
- Data Science Portfolio of Tatev Karen Aslanyan including Case Studies and Research Projects that I have completed that solve business pro…☆65Updated 2 years ago
- ☆71Updated last year
- Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to …☆195Updated 2 years ago
- Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of…☆187Updated 2 years ago
- Python Data Analysis, Third Edition, Published by Packt☆208Updated last month
- Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with…☆108Updated last month
- Practical Data Science with Python, published by Packt☆136Updated last month
- A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python☆149Updated 10 months ago
- Web Scraping and API in Python using beautifulsoup, requests, requests-xml, etc for processing multiple APIs and scraping multple sites s…☆19Updated 5 years ago
- There are several exploratory data analysis (EDA) analyzes in this file. More data analytics and business approached than machine learnin…☆46Updated 4 years ago
- Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data☆75Updated 5 years ago
- Code repository for the online course Machine Learning Interpretability☆29Updated last year
- Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that a…☆45Updated 6 years ago
- The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to imp…☆134Updated last week
- Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices☆131Updated 4 years ago
- Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning track. Instructor: Dr. Ivan Reznikov☆80Updated 2 years ago
- ☆128Updated last month
- Data Visualization Tutorial | Matplotlib | Seaborn | Pandas☆57Updated 2 years ago
- Repository for the book Simplifying Machine Learning with PyCaret.☆65Updated 2 years ago
- Hands-On Data Preprocessing in Python, published by Packt☆206Updated last month
- Data Cleaning In Python and Julia with Practical Examples☆83Updated 6 years ago
- Some of my notebooks of Datacamp courses.☆132Updated 6 years ago
- Data Science Study Notes + Projects☆21Updated 3 years ago
- Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.☆82Updated 7 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆217Updated last month
- Python-based Jupyter notebooks, notes, and project solutions from DataCamp courses on data science, machine learning, and statistics.☆95Updated last month
- Exploratory data analysis 📊using python 🐍of used car 🚘 database taken from ⓚ𝖆𝖌𝖌𝖑𝖊☆226Updated 7 years ago
- ☆37Updated 4 years ago
- In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…☆240Updated 3 years ago