https://github.com/jesussantana/ibm-skills-courses

IBM Data Science, Machine Learning & Deep Learning Courses to Increase your Skills Development
https://github.com/jesussantana/ibm-skills-courses

analysis classification clustering data-mining data-science deep-learning folium machine-learning matplotlib npl numpy pandas python3 regression-models seaborn sklearn supervised-learning unsupervised-learning visualization web-scraping

Last synced: 7 months ago
JSON representation

IBM Data Science, Machine Learning & Deep Learning Courses to Increase your Skills Development

• Host: GitHub
• URL: https://github.com/jesussantana/ibm-skills-courses
• Owner: jesussantana
• License: mit
• Created: 2021-07-31T13:58:36.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2022-05-01T15:29:11.000Z (over 3 years ago)
• Last Synced: 2025-01-11T12:34:01.875Z (9 months ago)
• Topics: analysis, classification, clustering, data-mining, data-science, deep-learning, folium, machine-learning, matplotlib, npl, numpy, pandas, python3, regression-models, seaborn, sklearn, supervised-learning, unsupervised-learning, visualization, web-scraping
• Language: Jupyter Notebook
• Homepage:
• Size: 1.99 MB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
IBM Skills Courses

==============================

![IBM Skills Network](https://esmarketingdigital.com/images/ibm-Skills.png)

## IBM Data Science, Machine Learning & Deep Learning Courses to Increase your Skills Development

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)  

[![Made withJupyter](https://img.shields.io/badge/Made%20with-Jupyter-orange?style=for-the-badge&logo=Jupyter)](https://jupyter.org/try)  

 

---

## [IBM Deep Learning Fundamentals](https://cognitiveclass.ai/courses/course-v1:DeepLearning.TV+ML0115EN+v2.0)

- Get a crash course on the what there is to learn and how to go about learning more. Deep Learning presents a simplified explanation of some of the hottest topics in data science today:

  - What is Deep Learning?

  - What are are convolutional neural networks?

  - Why is deep learning so powerful and what can it be used for?

  - Be part of a rapidly growing field in data science; there's no better time than now to get started with neural networks.  

- [IBM Deep Learning Fundamentals Credential](https://www.credly.com/badges/97756631-24ed-4306-9722-1937340f8d76/public_url)  

---

## [IBM Deep Learning with TensorFlow](https://github.com/jesussantana/IBM-Deep-Learning-with-TensorFlow)

- In this TensorFlow course, you will be able to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline:

  - Introduction to TensorFlow

  - Convolutional Neural Networks (CNN)

  - Recurrent Neural Networks (RNN)

  - Unsupervised Learning

  - Autoencoders 

- [IBM Deep Learning with TensorFlow Credential](https://www.credly.com/badges/7574f37f-7d67-4acf-bbfb-cd2cbf76015a/public_url) 

---

## [IBM Machine Learnig with Python](https://github.com/jesussantana/IBM-Machine-Learning-with-Python)

- This Machine Learning with Python course dives into the basics of machine learning using an approachable, and well-known, programming language. You'll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each.

- [IBM Machine Learnig with Python Credential](https://www.credly.com/badges/cc1b5ec1-647e-4c31-a608-8cdd4fc4c5a6)  

---

## [Applied Data Science with Python - Level 2 - IBM Credential](https://www.credly.com/badges/3a4d71ef-d328-40b5-8be8-40949bce5c96)

- This badge earner is able to code in Python for data science. They can analyze and visualize data with Python with packages like scikit-learn, matplotlib and bokeh.

### 1. [IBM Pyhton for Data Science PY0101EN](https://github.com/jesussantana/IBM-Python-for-Data-Science-PY0101EN)

- This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.  

- [IBM Pyhton for Data Science Credential](https://www.credly.com/badges/a0f2dbd6-ff83-40d6-aa41-a7ccb9cc6363)

### 2. [IBM Data Analysis with Python DA0101EN](https://github.com/jesussantana/IBM-Data-Analysis-with-Python-DA0101EN)  

- Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!.  

- [IBM Data Analysis with Python Credential](https://www.credly.com/badges/730e7fb2-186e-4527-b8b2-bf0db1cfce05)

### 3. [IBM Data Visualiztion with Python DV0101EN](https://github.com/jesussantana/IBM-Data-Visualization-with-Python-DV0101EN)

- The main goal of this course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, seaborn, and Folium.

- [IBM Data Visualiztion with Python Credential](https://www.credly.com/badges/8efefd76-672c-4400-9995-29af176bde17)