kabil's repositories
feature_selection_technique
Here you can few different methods for feature selection
Streamlit_project
Developing the User Interface using Streamlit for Machine Learning Model Development
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2021
Complete-Life-Cycle-of-a-Data-Science-Project
Complete-Life-Cycle-of-a-Data-Science-Project
data-science-complete-tutorial
For extensive instructor led learning
Databricks
DB demo
Decision_Tree_Implementation
Implementation of decision tree from scratch
demo-self-driving
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
DS_Codes
Code repository for ds course
educative-courses
A collection of courses, scraped from the website Educative (educative.io). Feel free to use!
iv-and-woe-python
This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information value and quick tutorial how to use information value module (created for this analysis).
kabil1001
Config files for my GitHub profile.
LSTM-Attention-FraudDetection
Enhanced Credit Card Fraud Detection based on Attention mechanism and LSTM deep Model
machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
optbinning
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
pytorch-for-numpy-users
PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com
Resume-Rater
Rates the quality of a candidate based on his/her resume using unsupervised approaches
sentimental-analysis
We have been provided with the Movie review dataset which contains the review of a user and a binary target variable which records the sentiment of that review. We are then asked to build a model that learns to classify the reviews into one of the 2 classes. The kind of problem is a Supervised Classification Problem.
stable-diffusion-videos
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
TensorSlow
Re-implementation of TensorFlow in pure python, with an emphasis on code understandability
WEED-DETECTION
This project is about detecting the weed from the plant to spray the pesdicides