Pinned Repositories
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
bank-marketing-analysis
Response model of the Portugese bank marketing analysis
Credit-Risk-Analysis
data-science-masters
Self-study plan to achieve mastery in data science
Demo
demo
DS-Career-Resources
Compilation of resources and insights that helped me on my journey to data scientist
Loan-Defaulter-Prediction-Machine-Learning
Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost
LoanDefault-Prediction
LoanDefault-Prediction
Price-Optimisation
Social-Graph-Link-Prediction
A Machine Learning Case Study to predict the links in a social graph to recommend friends/connections/followers.
swekul's Repositories
swekul/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
swekul/Coding-Lane-Assets
swekul/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
swekul/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
swekul/awesome-machine-learning-engineer
A curated awesome list of Machine Learning Engineering resources. Feel free to contribute! 🚀
swekul/AV-Agriculture
Analytics Vidhya Hackathon
swekul/Portfolio
Zijing's data science project portfolio
swekul/Interview-Prepartion-Data-Science
swekul/deeplearning.ai-Assignments
swekul/cs231n.github.io
Public facing notes page
swekul/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
swekul/data
swekul/120-DS-Interview-Questions
My Answer to 120 Data Science Interview Questions
swekul/Gaussian-Trnasformaion
swekul/Tensorflow-in-practise-Specialization
Four Courses Specialization Tensorflow in practise Specialization
swekul/deep-learning-models
Keras code and weights files for popular deep learning models.
swekul/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
swekul/MyProjects
swekul/deeplearning.ai-notes
These are my personal notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
swekul/leetcode-1
Python & JAVA Solutions for Leetcode
swekul/CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
swekul/notes
swekul/CNN-on-CIFR
CNN on CIFR
swekul/Leetcode-in-python-50-Algorithms-Coding-Interview-Questions
Implementation of the coding interview questions for the "Leetcode in python 50 Algorithms Coding Interview Questions" Course on udemy
swekul/Convert-ML-model-as-an-API
A sample project to convert a machine learning (ML) algorithm in Python Jupyter notebooks to APIs.
swekul/average-word2vec
🔤 calculate average word embeddings (word2vec) from documents for transfer learning
swekul/MLfromscratch
Machine Learning algorithm implementations from scratch.
swekul/Semantic-Segmentation-on-Indian-Driving-Dataset
Implemented UNet and PSPNet architectures using Tensorflow on idd20k_lite dataset. The idd20k_lite dataset has 7 classes that include Drivable, Non-Drivable, Living things, Vehicles, Road-side objects, Far-objects, and Sky. The segmentation challenge was the pixel-level prediction of all the 7 classes at level 1 of the label hierarchy.
swekul/neural-networks-and-deep-learning
This is my assignment on Andrew Ng's course “neural networks and deep learning”
swekul/keras-applications
Reference implementations of popular deep learning models.