szawan Goto Github PK

10-steps-to-become-a-data-scientist

📢 Ready to learn!✅ you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.🔖

100-daysofcomputervision

100daysofdatascience

I am a data science and machine learning enthusiast, who wants to polish its skills in data science and so I have decided to do 100 days of data science with atleast one hour of datascience each day!

2015

Public material for CS109

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-deep-vision

A curated list of deep learning resources for computer vision

clustering

Respository performing clustering techniques on turkey student evalution dataset

data-engineering-zoomcamp

Learning By Practise

datapreprocessing

This repository contains different pre-processing techniques used to tune your data according to the machine learning algorithm you use.

deeplift

Public facing deeplift repo

drf_course

Django Rest Framework Course

flagembedding

Retrieval and Retrieval-augmented LLMs

g2pdeep_model_shuai

This is the main repository Shuai used to publish the first model

generative-adversarial-network-tutorial

Tutorial on creating your own GAN in Tensorflow

hello-world

knn

This repository contains KNN applied to three datasets, Hepatitis, bank marketting and Pakistan cricket. The performance in terms of accuracy is calculated for each of the kernels used in SVM.

leetcode

This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.

llm-zoomcamp

LLM Zoomcamp

llm_xai_biomarkers

machine-learning-with-python

Python codes for common Machine Learning Algorithms

magic

MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.

my_llm-zoomcamp

This is a repository for 90 days of LLM

nlp

:memo: This repository recorded my NLP journey.

python-feature-engineering-cookbook

Python Feature Engineering Cookbook, published by Packt

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

resource-allocation-using-deeprl

Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks

snpanalysis

superset

Apache Superset is a Data Visualization and Data Exploration Platform

support-vector-machine

This repository contains SVM applied to three datasets, Hepatitis, bank marketting and Pakistan cricket. The performance in terms of accuracy is calculated for each of the kernels used in SVM.

text-analytics-with-python

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.