About me
Quick Introduction
Ever since I ventured into the world of Machine Learning, I've
been driven by a passion for tackling problems head-on. Along the
way, I've had the privilege of assisting over a thousand
individuals by crafting unique projects that address real-world
problems.
Now, as I look forward to new horizons, my goal is to extend this
impact even further while collaborating with like-minded
individuals. Let's connect and explore the possibilities
together!..
Experience
Completed
Written
Skills
My technical levelLanguages
All about the core..Python
95%C++
85%Rust
60%Golang
70%SQL
80%Frameworks
Everyone needs supportNumPy
70%Pandas
80%Matplotlib
75%Scikit-learn
85%PyTorch
90%Tensorflow
75%OpenCV
70%Streamlit
80%Seaborn
60%Flask
70%Machine Learning
Implment, Implment!Exploratory Data Analysis
90%Regression & Classification
95%Convolutional Neural Networks
80%Natural Language Processing
80%Diffusor Models
75%Transformers
75%Generative Adversarial Networks
70%Reinforcement Learning
80%Multi Modal Learning
70%Time Series Forecasting
60%Databases and Viz
Storing data and making it prettyMySQL
80%Postgres
70%MongoDB
60%PowerBI
75%Qualification
My personal journeyBachelors of Computer Applications (BCA)
Indira Gandhi National Open University (IGNOU)Machine Learning Freelancer
Helped many final year college grads complete their projectProjects
Theories into practice
2021 Olympics Dashboard
This was the capstone project I crated for Data Analytics Bootcamp. Here I have analyzed insights like which country won the most medal, which sports were played the most by atheletes from 2021 Olympics Data. Have a look at it below 👇
DemoBlog
My technical articles
Reinforcement Learning 101
A step by step introduction of reinforcement learning for beginners. I have tried to explain every topic with in depth context and great visuals so even a child won't struggle to understand what I'm trying to explain them.
Read it
What is Early Stopping?
When it comes to train a model, overfitting is a common issue seen very often. Early stopping is also one of those overfitting issues. I have tried to explain what actually early stopping is and how to prevent our model from this curse (along with implementing it in PyTorch.)
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Genetic Algorithm Implementation From Scratch
Genetic algorithms are a type of optimization algorithm inspired by the process of natural selection and evolution. In this blog I've tried to explain and code genetic algorithm from scratch in python.
Read it
Neural Style Transfer implementation in PyTorch
Neural Style Transfer is a technique that blends the content of one image with the artistic style of another, creating a new image that maintains the structure of the content image while adopting the visual aesthetics of the style image.
Read it