dnanadev Goto Github PK

acm-icpc-algorithms

Algorithms used in Competitive Programming

animal_adoption_prediction

Involves, Feature Engineering, Data Cleaning/Wrangling and Modelling using Decision Trees, Random Forest, ANN and XGBoost. [ZS_Associates_ML_98_Challenge]

cnn_classifier

Simple classifier that classifies images of Maruti Swift and Toyota Innova.

covid19-gcp-data-pipeline

ETL Pipeline hosted on GCP. Uses CloudSQL, GCS, CloudFunctions. Data validation and cron scheduled updates to fetch data from public sources.

covid19-india-analysis-and-forecasting

End-End Covid19 : India Data extraction and Analysis, Predictive Modelling Project. Kaggle Week 1 Forecasting Challenge.

crnn_for_ocr

Implementation of a CRNN model with CTC for OCR.

cs-fundamentals

🎓 Data structures and algorithms

customer_churn_modelling

Panel data customer churn prediction posed as extremely unbalanced classification and unsupervised anomaly detection problem.

dash_defer_js_import

Deferring loading of JS files until after React loads

data-science-tutorials

Tutorials for Data Science

dataquest

DataQuest: Data Science track

delhi_rental_price_prediction

End-End Data Science project. Using Scraped rental listings and an Ensemble Voting Regressor to predict monthly rent.

easy-deep-learning-with-keras

Keras tutorial for beginners (using TF backend)

forest_cover_analysis_prediction

EDA and Predicitve Modelling on UCI forest cover dataset, kaggle challenge public score 0.764.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

littleinferencebook

A book for the coursera statistical inference class

machine-learning-interview

Minimum Viable Study Plan for Machine Learning Interviews from FAAG, Snapchat, LinkedIn.

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接

personal_blog

Trying out the different blogging platforms

python-for-data-science-and-machine-learning-bootcamp

recommender_system_totality

Recommender system task for Totality internship

redditdownloader

Scrapes Reddit to download media of your choice.

shiori

Simple bookmark manager built with Go

ssd_object_detection_app

Object Detection App created for internship

static_pages

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

time_series

Time Series Analysis and Forecasting Notebooks

user_profile_cluster_analysis

Cluster Analysis of Personal IMDB Ratings to find insights and segment user preference.

youtube-indexer

Index YouTube creator videos and detect changes like removals or video duration changes. Requires no API key