Roshan Sharma's repositories
Twitter-Sentiment-Analysis
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 analysis, data analysis and data visualization
Statistics-for-Data-Science
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 data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.
Data-Visualizations
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 the Business to make bigger profits and understand the root cause and behavioral analysis of people and customers associated to it. In this Repository I have deeply discussed about Line Plots, Bar plots, Scatter Plots, and Pie Charts, Apart from that I have Discussed scientific plots, 3d plots, animated plots, interactive plots to visualize any kind of business problem and that too of any complexity.
Drugs-Recommendation-using-Reviews
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
Students-Performance-Analytics
Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at lat applying Classification Algorithms from Machine Learning to Separate Students with different grades
Basic-Python-Course
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 domains and technologies. Python is the first choice for Data Science, Machine Learning, Deep Learning, Computer Vision, Block chain etc.,
Passenger-Prediction-Using-Time-Series-Analysis
I have used Time Series Analysis to predict the behavior and pattern of Passengers at a bus stop, Data Visualizations include Time-Series Plots.
Numpy-and-Pandas
Numpy and Pandas are one of the most important building blocks of knowledge to get started in the field of Data Science, Analytics, Machine Learning, Business Intelligence, and Business Analytics. This Tutorial Focuses to help the Beginners to learn the core Concepts of Numpy and Pandas and get started with Machine Learning and Data Science.
Fraud-Detection-in-Insurace-Claims
This is a very Important part of Data Science Case Study because Detecting Frauds and Analyzing their Behaviours and finding reasons behind them is one of the prime responsibilities of a Data Scientist. This is the Branch which comes under Anamoly Detection.
Machine-Learning-Algorithms-with-Pyspark
In this Complete process in machine learning is discussed and done with pyspark .
Titanic-Passenger-Survival-Prediction
Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Learning to Predict who can Survive the attack of Tsunami.
educative.io_courses
this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack
Movie-Recommendation-System
In this Movie Dataset I have used my Basic Knowledge of Recommendation Systems. I have used the Concept of Content -Based Recommendation System to Recommend that If a User Watched a Particular Movie than Which Other Movies He/She is going to like or watch.
Analyzing-the-Dimensions-of-Poverty
The Data set is picked from Kaggle which describes the Situation of the Multidimensional Measures around the globe. In this Analysis, I have tried to used Pandas, seaborn, and Ipywidgets for the End to End Analysis of the Subject.
Predicting-the-Likelihood-of-E-Signing-a-Loan-Based-on-Financial-History
It is a Simple and Starter Data Science Problem Solved Using Machine Learning Concepts such as Classification and Clustering etc. In this Dataset we have to Predict the Likelihood of the E-signing of a Loan Based Financial History.
Image-Super-Resolution
Image Super Resolution is one of the most Intriguing and Interesting Projects in Deep Learning and It is done by an Architecture of Deep Learning called Super Resolution Convolutional Neural Networks or SRCNN. Using Image Super Resolution Technique we can convert the Low Resolution Images into High Resolution, Which can be really helpful for Domains where the Clarity and High Definitions are Highly Required.
Named-Entity-Recognition
This is a Starter NLP Project where I have Tried to Explore Different Functionalities That Could be Achieved Using NLP Libraries, I have Used Different Libraries Such as Wikipedia, Spacy, etc to Extract the Details from a Website or more Specifically From Wikipedia and get some more Knowledge about it.