Roshan Sharma

Results 22 repositories owned by Roshan Sharma

Twitter-Sentiment-Analysis

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It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text a...

Data-Visualizations

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Data Visualizations is emerging as one of the most essential skills in almost all of the IT and Non IT Background Sectors and Jobs. Using Data Visualizations to make wiser decisions which could land t...

Statistics-for-Data-Science

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Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the...

Basic-Python-Course

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The Course includes all the basic concepts of Python. Python Programming Language is one of the most trending programming languages in the world currently due to it's large applications in different d...

Big-Mart-Sales-Prediction

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Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to Support it.

Churn-Modelling-Dataset

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Predicting which set of the customers are gong to churn out from the organization by looking into some of the important attributes and applying Machine Learning and Deep Learning on it.

Drugs-Recommendation-using-Reviews

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Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

Education-Process-Mining

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Mining Student's Performances through their results in final and intermediate exams using Machine Learning

Facebook-Social-Network-Analysis

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Social network analysis (SNA) is the process of investigating social structures through the use of networks and graph theory.[1] It characterizes networked structures in terms of nodes (individual act...

FIFA-2019-Analysis

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This is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations