Pinned Repositories
A-Visual-History-of-Novel-Prize-Winner
Data Analysis and Visualization of dataset containing Novel Prize Winners and concluding certain facts based on the outputs.
Chatverse
Chatverse is a platform where people from around the world can create or participate in various rooms on the topics they are most interested in and meet like-minded people.
CNN-classification---PyTorch
This research compares the capabilities of four distinct CNN models for the task of classifying medical images: SimpleCNN, LeNet5, AlexNet, and VGG16. The study looks into which CNN model does this task the best and offers insights into the variables that affect the model's performance.
CodeInPlace2021
This is a final project for Code in Place 2021, offered by Stanford University. The code is for a Caterpillar Game.
Customize-Admin-Django
Customizing default admin page provided by django.
Datacamp-Data-Scientist-Notes
The roadmap to data scientist track in Datacamp have number of exercises and such notebooks are curated here.
Datacamp-ML-Scientist-Notes
A comprehensive introduction to machine learning in Python including how to process data for features, train your models, assess performance, and tune parameters for better performance. Also introduction to natural language processing, image processing, and popular Python machine learning packages such as scikit-learn, Spark, and Keras.
Drug-Target-Integration
Our model predicts binding affinity across a diverse set of drugs and target groups. Drug-target interaction prediction task aims to predict the interaction activity score in silico given only the accessible compound structural information and protein amino acid sequence.
LearnIt
Minor-Project-Sales-Prediciton
Sales Prediction of 10 different stores having 50 items each using machine learning algorithms such as Light GBM, Linear Regression, XGBoost and CatBoost; also comparative analysis on all the ML algorithms used.
jinunyachhyon's Repositories
jinunyachhyon/LearnIt
jinunyachhyon/A-Visual-History-of-Novel-Prize-Winner
Data Analysis and Visualization of dataset containing Novel Prize Winners and concluding certain facts based on the outputs.
jinunyachhyon/Chatverse
Chatverse is a platform where people from around the world can create or participate in various rooms on the topics they are most interested in and meet like-minded people.
jinunyachhyon/CNN-classification---PyTorch
This research compares the capabilities of four distinct CNN models for the task of classifying medical images: SimpleCNN, LeNet5, AlexNet, and VGG16. The study looks into which CNN model does this task the best and offers insights into the variables that affect the model's performance.
jinunyachhyon/CodeInPlace2021
This is a final project for Code in Place 2021, offered by Stanford University. The code is for a Caterpillar Game.
jinunyachhyon/Customize-Admin-Django
Customizing default admin page provided by django.
jinunyachhyon/Datacamp-Data-Scientist-Notes
The roadmap to data scientist track in Datacamp have number of exercises and such notebooks are curated here.
jinunyachhyon/Datacamp-ML-Scientist-Notes
A comprehensive introduction to machine learning in Python including how to process data for features, train your models, assess performance, and tune parameters for better performance. Also introduction to natural language processing, image processing, and popular Python machine learning packages such as scikit-learn, Spark, and Keras.
jinunyachhyon/Drug-Target-Integration
Our model predicts binding affinity across a diverse set of drugs and target groups. Drug-target interaction prediction task aims to predict the interaction activity score in silico given only the accessible compound structural information and protein amino acid sequence.
jinunyachhyon/Minor-Project-Sales-Prediciton
Sales Prediction of 10 different stores having 50 items each using machine learning algorithms such as Light GBM, Linear Regression, XGBoost and CatBoost; also comparative analysis on all the ML algorithms used.
jinunyachhyon/Dart-Challenge
Learned Dart programming language and implemented them via few challenges implemented in flutter.
jinunyachhyon/Deep-Learning---PyTorch
jinunyachhyon/Documo-Datarush-Text-Classification
Prediction of provided 'Text Abstracts' that belongs into various categories along with their category number using Machine Learning Algorithms such as Naive Bayes, Logistic Regression and Linear SVM.
jinunyachhyon/DPhi-Bootcamp
Mini Bootcamp for Data Science; that include learning python libraries such as Pandas, Numpy and Matplotlib and finally moving to NLP.
jinunyachhyon/Hacker-Statistics
Hacker statistics to calculate your chances of winning a bet. Use random number generators, loops, and Matplotlib to gain a competitive edge!
jinunyachhyon/Investigating-Netflix-Movies-and-Guest-Stars-in-The-Office
Investigating Netflix Movies and Guest Stars in The Office
jinunyachhyon/jinunyachhyon
jinunyachhyon/Landing-page-using-HTML-and-CSS
Landing Page designed using HTML and CSS. New features are on the way..
jinunyachhyon/Professional-Profile
Creating my professional profile using dart in flutter.
jinunyachhyon/Python-Programmer
This repo contains notebooks that works with challenging data, including date and time data, text data, and web data using APIs. It also contains unit testing and concepts of OOP in Python. The notebooks uses Python libraries, NumPy, pytest, and pycodestyle, that will helps in tasks such as web development, data analysis, and task automation.
jinunyachhyon/TATA-Comm-Datathon
Building a projection of the business potential for each of the 4000 regions for the next 15 months using time series forecasting techniques.
jinunyachhyon/The-Andriod-App-Market-on-Google-Play
In this notebook, there is a comprehensive analysis of the Android app market by comparing over ten thousand apps in Google Play across different categories. Insights in the data to devise strategies to drive growth and retention.
jinunyachhyon/The-Github-History-of-Scala-Language
Data Analysis on the long lost language - Scala based on it Github commit history.
jinunyachhyon/Time-Series-with-Python
This repo guides to manipulate time series data using pandas, work with statistical libraries including NumPy and statsmodels to analyze data, and develop your visualization skills using Matplotlib, SciPy, and seaborn. It also includes forecasting future using ARIMA class models and generate predictions and insights using machine learning models.