This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course

GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz

🌌 The R easystats-project

A set of numerical demonstrations in Excel to assist with teaching / learning concepts in probability, statistics, spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz

Hye.!!! Hope you all are doing well.. Here you will find amazing data science projects that will boost-up your knowledge and level of interest.

This project focuses on sentiment analysis. Social Sentiment analysis is the use of natural language processing (NLP) to analyze social conversations online and determine deeper context as they apply to a topic, brand or theme.

Geostatistical utilities and tutorial in R. For the tutorials I have included Rmarkdown html files.

My graduate level machine learning course, including student machine learning projects.

Portfolio in Python

Collect and process real time twitter data plotting various metrics like volume , proportion, sentiment. Analyze tweet node networks and map them geographically.

This repository is a collection of all the solutions of tasks that were assigned to me during my Data Analytics Virtual Internship Experience Program at Quantium. 💻📚📊

Data science virtual internship program by British Airways through Forage!

During this Online Coding Internship, I have worked on projects related to Data Analytics and Machine Learning.

Companion to textbook "Decision Support Systems: Introduction to Data Science with Applications"

Выпускная квалификационная работа по программе повышения квалификации «Data Science» по теме "Прогнозирование конечных свойств новых композиционных материалов"

DATA ANALYTICS PORTFOLIO

Dashboard Builder connected to Km4City smart city platform, developed per REPLICATE H2020

Python For Artificial Intelligence, Machine Learning and Data Mining

Data analysis and dbms for Btech CSE Data science

All kaggle datasets and the R codes