Bhard27 ( Pranjal Bhardwaj )

Pranjal Bhardwaj Bhard27 @CodeChefVIT @Collabrains-VIT @Ethereum 127.0.0.1 https://www.linkedin.com/in/pranjal-bhardwaj-a85263188/ Machine Learning, Data Science , Deep Learning and Blockchain enthusiast.

repos

gists

followers

following

Bhard27/COVID-19-complete-EDA-analysis 8

Performed Exploratory Data Analysis(EDA) on the global COVID-19 dataset. Used Geopython to get a worldwide view of COVID-19 cases.

Bhard27/COVID-Genome-DS 4

This is a project based on the complete genome analysis of the COVID-19 (Sars-cov2) virus, taken from the Wuhan-Hu-1 isolate sample. I cleaned the genome sample to obtain an RNA sequence and I verified the number of base-pairs in the virus. Using the concept of Kolmogorov complexity, I was able to find the lower bound size of a compressed version of the COVID-19 virus. I was able to compress it into an 8.412 kb file using the "LZMA" algorithm. Then I converted the RNA sequence into a DNA string for applying the concepts of "Codons". This helped me to find the essential 20 different types of proteins that can be used to express the genome into the Protein sequence. Further, I made a decoder to make the genome into the Reading-Frame sequence. With the help of this reading frame sequence, I was able to extract the polypeptides and long-chain polypeptides in the virus. Then, I analyzed the Open Reading Frame(ORF) for the Sars-Cov-2 virus which has 10 different proteins that are responsible for the synthesis and catalytic process of COVID-19 in a human body. At last, I was able to verify the length of all the 10 proteins(ORF1a, ORF1b, Spike Glycoprotein, Membrane, ORF6, ORF7a, ORF8, ORF10) thus this project has the proof of all the scientific foundlings using Data science concepts.

Bhard27/Breast-cancer-prediction 3

Breast cancer detection using 4 different models i.e. Logistic Regression, KNN, SVM, and Decision Tree Machine Learning models and optimizing them for even a better accuracy.

Bhard27/Extracting-Stock-Sentiments-from-News-Headlines-using-Sentimental-Analysis 3

In this project, I generated investing insights by applying sentiment analysis on financial news headlines from Finviz. Using this natural language processing technique, I was able to understand the emotion behind the headlines and predict whether the market feels good or bad about a stock. The datasets used in this project are raw HTML files for Facebook (FB) and Tesla (TSLA) stocks from FINVIZ.com, a popular website dedicated to stock information and news. Made a plot to visualize the positive, negative, and neutral scores for a single day of trading and single stock.

Bhard27/Introduction-to-Household-Water-Treatment-and-Safe-Storage 3

Solutions to the coursera course, Introduction to Household Water Treatment and Safe Storage

Bhard27/Analyzing-Bitcoin-Cryptocurrency-Market 2

Trend analysis of Bitcoin-Cryptocurrency markets Project Description The aim of the project is to better understand the growth and impact of Bitcoin and other cryptocurrencies in the financial markets. In this , we will explore the market capitalization of different cryptocurrencies.

Bhard27/Bhard27 2

About me.

Bhard27/Gender-Prediction-Using-Sound 2

In this project, I used the Fuzzy python library for implementing common phonetic algorithms quickly. Typically this is in string similarity exercises, but they’re pretty versatile. In this project, I used the Python package Fuzzy to find out the genders of authors that have appeared in the New York Times Best Seller list for Children's Picture books.

Bhard27/Analysis-of-the-Bitcoin-Cryptocurrency-market-trends 1

Trend analysis of Bitcoin-Cryptocurrency markets(2017&2018)

Bhard27/Blockchain-v1 1