Python Machine Learning (3rd Ed.) Code Repository
Paperback: 770 pages
Publisher: Packt Publishing
Language: English

https://github.com/rasbt/python-machine-learning-book-3rd-edition

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Few Numpy Tutorials

Python NumPy Tutorial – Learn NumPy Arrays With Examples
https://www.edureka.co/blog/python-numpy-tutorial/

Python Numpy Tutorial (with Jupyter and Colab)
https://cs231n.github.io/python-numpy-tutorial/

NumPy fundamentals (official docs)
https://numpy.org/doc/stable/user/basics.html

#numpy
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Top 8 Github Repos to Learn Data Science and Python

1. All algorithms implemented in Python
By: The Algorithms
Stars ⭐️: 135K
Fork: 35.3K
Repo: https://github.com/TheAlgorithms/Python

2. DataScienceResources
By: jJonathan Bower
Stars ⭐️: 3K
Fork: 1.3K
Repo: https://github.com/jonathan-bower/DataScienceResources

3. Playground and Cheatsheet for Learning Python
By: Oleksii Trekhleb ( Also the Image)
Stars ⭐️: 12.5K
Fork: 2K
Repo: https://github.com/trekhleb/learn-python


4. Learn Python 3
By: Jerry Pussinen
Stars ⭐️: 4,8K
Fork: 1,4K
Repo: https://github.com/jerry-git/learn-python3


5. Awesome Data Science
By: Fatih Aktürk, Hüseyin Mert & Osman Ungur, Recep Erol.
Stars ⭐️: 18.4K
Fork: 5K
Repo: https://github.com/academic/awesome-datascience

6. data-scientist-roadmap
By: MrMimic
Stars ⭐️: 5K
Fork: 1.5K
Repo: https://github.com/MrMimic/data-scientist-roadmap


7. Data Science Best Resources
By: Tirthajyoti Sarkar
Stars ⭐️: 1.8K
Fork: 717
Repo: https://github.com/tirthajyoti/Data-science-best-resources/blob/master/README.md


8. Ds-cheatsheets
By: Favio André Vázquez
Stars ⭐️: 10.4K
Fork: 3.1K
Repo: https://github.com/FavioVazquez/ds-cheatsheets

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The Data Science Interview Study Guide

Preparing for a job interview can be a full-time job, and Data Science interviews are no different. Here are 121 resources that can help you study and quiz your way to landing your dream data science job.

https://www.kdnuggets.com/2020/01/data-science-interview-study-guide.html

Machine Learning with Python : COMPLETE COURSE FOR BEGINNERS
Complete Machine Learning Course with Python for beginners
Rating⭐️: 4.6 out 5
Students 👨‍🎓 : 18533
Duration ⏰ : 13 hours on-demand video
Teacher 👨‍🏫: Prashant Mishra
🔗 Course link


I have noticed this one is currently free (but only for first 1000 enrols !!!) so I thought some of you might be interested 😊

#machinelearning #pythoncourses #python
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The Best Data Science Approaches In The Data Mining World

One of the best approaches in the data mining world is called the CRISP-DM. This means Cross Industry Standard Process for Data Mining. It describes the data project as having six phases.

1) Business Understanding
a) What is the business objectives and situation assessment
b) Determine the data mining goal and create a project plan

2) Data Understanding
a) Collect Initial data and describe data
b) Explore data and verify data quality

3) Data Preparation
a) Get,Select and Clean the data set
b) Construct and Integrate data

4) Modeling
a) Select model technique and generate test design
b) Build and access model

5) Evaluation
a) Evaluate and review process
b) Determine the next steps

6) Deployment
a) Plan deployment
b) Plan monitoring and maintenance
c) Produce final report and review project

Difference between AI, ML and DL

Contains a simplified guide to understanding the terms AI, ML and DL

Best of Machine Learning with Python

Here's a ranked list of 920 awesome machine learning projects with a total of 3,4 Million stars grouped into 34 categories.

Stars⭐️: 6.9K
Fork: 962
Repo: https://github.com/ml-tooling/best-of-ml-python#image-data

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2022 Python and Machine Learning in Financial Analysis

Looking to improve your machine learning skills for financial analysis? Here's a free resource for you😉

Rating⭐️: 4.3 out 5
Students 👨‍🎓 : 33,014
Duration ⏰ : 20 hours on-demand video
Teacher 👨‍🏫: S.Emadedin Hashemi

Course Link

This course coupon expires until 3rd of May. Let's jump on this while we still can😁
#machinelearning #pythoncourses #python
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The Machine Learning Crash Course With TensorFlow APIs

Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.
Link: **https://developers.google.com/machine-learning/crash-course

**Contents:
🔘 30+ Exercises
🔘 25 Lessons
🔘 15 hours course duration
🔘 Lectures from Google Researchers
🔘 Real World Case Studies
🔘 Interactive Visualisation of Algorithms in action

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