Utkarsh Sharma's repositories
Coursera-IBM-Machine-Learning-with-Python-Final-Project
The following algorithms are used to build models for the different datasets: k-Nearest Neighbour, Decision Tree, Support Vector Machine, Logistic Regression The results is reported as the accuracy of each classifier, using the following metrics when these are applicable: Jaccard index, F1-score, Log Loss. This project counts towards the final grade of the course.
Level-Difficulty-in-Candy-Crush-Saga
Candy Crush Saga is a hit mobile game developed by King (part of Activision|Blizzard) that is played by millions of people all around the world. In this DataCamp Project, I worked with a real Candy Crush dataset and used this data to estimate level difficulty.
Multiple-Linear-Regression-Backward-Elimination-Python
Implementing a Multiple Linear Regression in Python using Backward Elimination
Coursera-IBM-Visualizing-Neighborhoods-in-Toronto
Visualizing Neighborhoods in the city of Toronto. This project is a part of the Data Science Specialisation Capstone offered by IBM on Coursera.
Exploring-the-Kaggle-Data-Science-Survey
Exploring the 2017 Kaggle Data Science Survey results, and learning about the tools used by 10,000+ people in the professional data science community. This DataCamp project uses a subset of the 2017 Kaggle Machine Learning and Data Science Survey dataset.
Historical-voting-of-the-UN-General-Assembly
In the General Assembly, every member nation gets a vote, which makes the voting history a great resource to study international relations. The dataset contains the historical voting data from the General Assembly of the United Nations. This is a dataset of roll-call votes in the UN General Assembly 1946-2018.
Multiple-Linear-Regression-Backward-Elimination-R
Implementing a Multiple Linear Regression in R using Backward Elimination
Multiple-Linear-Regression-Python
Implementing a Multiple Linear Regression in Python
Multiple-Linear-Regression-R
Implementing a Multiple Linear Regression in R
Polynomial-Regression-Python
Implementing a Polynomial Regression in Python
Rise-and-Fall-of-Programming-Languages
Using open data from the Stack Exchange Data Explorer to examine the relative popularity of languages like R, Python, Java and Javascript have changed over time.
TV-Halftime-Shows-and-the-Big-Game
The dataset used in this Project was scraped and polished from Wikipedia. It is made up of three CSV files, one with game data, one with TV data, and one with halftime musician data for all 52 Super Bowls through 2018.
Who-Is-Drunk-and-When-in-Ames-Iowa-
Grouping, summarizing, and visualizing data on breath alcohol tests in Ames, Iowa, (home of Iowa State University) from 2013-2017. Some questions answered include, "What is the highest recorded value?" and "When do breath alcohol tests occur most?"