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30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

c9-dev-intro-data-science

Sample code for Channel 9 Python for Beginners course

cap_proj

Capstone

capstone_project

carbon_nanotube_sql

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

demo_repo

ds_courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

ds_masters

The Open Source Data Science Masters

dsa-training

hang_man

ineuron

ineuron-full-stack-data-science-assignments

This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course

ineuron.ai

proejects done at ineuron.ai

intro_demo

Introduction to GIT

license-super-resolution

A License Plate Image Reconstruction Project in Tensorflow2

project-based-learning

Curated list of project-based tutorials

t-test-an-correlation-using-python

titanic_dataset

A public repo of datasets

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite