fashion-classification-with-deep-learning-for-beginners

The objective of this project is to predict fashion class such as pants, shirts, and shoes from grayscale images. This guided project is practical and directly applicable to the fashion industry. You can add this project to your portfolio of projects which is essential for your next job interview.

fastai

The fastai deep learning library

free-for-dev

A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

free-programming-books

:books: Freely available programming books

freecodecamp

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

github-readme-stats

:zap: Dynamically generated stats for your github readmes

glp

google-it-automation

google it automation with python professional certificate

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

ibm-applied-ai-specialization

IBM Applied AI Specialization offered by IBM on Coursera

ibm-applied-data-science-capstone-project

ibm-data-analyst-capstone-project-7-nov-21

ibm-data-science

Respository of the practical assigments of the course IBM Data Science from coursera

ibm-data-science-professional-certification

Learning materials, Quizzes & Assignment solutions for the entire IBM data science professional certification. Also included, a few resources that I found helpful.

ibm-data-science-professional-certification-1

This repository contains all the resources and solution to quizzes given and asked in IBM Data Science Professional Certification.

ibm-machine-learning-certificate-projects

Projects for ML courses on Supervised Learning, Unsupervised Learning, Deep Learning, Reinforcement Learning and specialized topics such as Time Series Analysis and Survival Analysis :robot:

ibm_data_science_professional_certification

This repository contains all the resources and solution to quizzes given and asked in IBM Data Science Professional Certification.

image-processing-with-python

interview-question-data-science-

introduction-to-data-science-with-python

k-means-clustering-101-world-happiness

In this case study, we will train an unsupervised machine learning algorithm to cluster countries based on features such as economic production, social support, life expectancy, freedom, absence of corruption, and generosity. The World Happiness Report determines the state of global happiness. The happiness scores and rankings data has been collected by asking individuals to rank their life from 0 (worst possible life) to 10 (best possible life).

keras

Deep Learning for humans

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

learning

Becoming better at data science every day

learning_git

Repo for learning to use Github

leet-code

Java Solutions to problems on LintCode/LeetCode

life-expectancy-prediction-using-machine-learning-project--29-8-21

logistic-regression-101-us-household-income-classification

Logistic Regression 101: US Household Income Classification

logistic-regression-101-us-household-income-classification1

The hands-on project on Logistic Regression101: US Income Classification is divided into the following tasks: Understand the problem statement and business case Import libraries/datasets Perform Exploratory Data Analysis Perform Data Visualization Prepare the data before model training Understand the intuition behind Logistic Regression Train and Evaluate a Logistic regression model Train and Evaluate a XG-Boost model

machine-learning-for-telecom-customers-churn-prediction

Telecom Customers Churn Prediction using several Machine Learning Classification problems