Python Resources - Basic Python, ML, DataScience, BigData
2.41K subscribers
14 photos
3 files
243 links
You can find all kinds of resources related to Python, ML, DataScience and BigData.
Resources — »»» @python_resources_iGnani
Projects — »»» @python_projects_repository
Questions— »»» @python_interview_questions
Forum — »»» @python_programmers_club
Download Telegram
Intro to Deep Learning with PyTorch by Facebook AI —- CLICK HERE FOR FREE RESOURCES
In this course, you’ll learn the basics of deep learning, and build your own deep neural networks using PyTorch. You’ll get practical experience with PyTorch through coding exercises and projects implementing state-of-the-art AI applications such as style transfer and text generation.

FREE - Approx. 2 Months - Intermediate SKILL LEVEL
CLICK HERE


#python #pytorch #DeepLearning #tutorial #course #learn
CS109 Data Science- Harvard:
Predicting Hubway Stations Status by Lauren Alexander, Gabriel Goulet-Langlois, Joshua Wolff

Learning from data in order to gain useful predictions and insights. This course introduces methods for five key facets of an investigation: data wrangling, cleaning, and sampling to get a suitable data set; data management to be able to access big data quickly and reliably; exploratory data analysis to generate hypotheses and intuition; prediction based on statistical methods such as regression and classification; and communication of results through visualization, stories, and interpretable summaries.

We will be using Python for all programming assignments and projects. All lectures will be posted here and should be available 24 hours after meeting time.

#DataScience #Course #Training #Harvard
.

Data Science Essentials - By Microsoft
Explore data visualization and exploration concepts with experts from MIT and Microsoft, and get an introduction to machine learning.

🔥 Free Training 🔥 —————— Pay only if you want a certificate

#DataScience #tutorial #beginners #free #Course
.
CS109 Data Science - Harvard 🔥 Free Training 🔥

Prerequisites: Python (Only Python is used throughout the course), fundamental knowledge of how the data science libraries work.

About the course:
This data science course offered by Harvard isn’t on a platform like edX or Coursera and doesn’t provide any certification. This might be one of the best courses for beginners to get started with data science and is completely free.
The
course contains a list of videos, lecture slides, lab videos & notebook and is a 13-week intensive program that wrapping up course content: (Listed in order of the course chronology)

* Web Scraping, Regular Expressions, Data Reshaping, Data Cleanup, Pandas.
* Exploratory Data Analysis
* Pandas, SQL and the Grammar of Data
* Statistical Models
* Storytelling and Effective Communication
* Bias and Regression (With more regression)
* Classification, k-Nearest Neighbors, Cross-Validation, Dimensionality Reduction, PCA, MDS
* SVM, Evaluation
* Decision Trees and Random Forests
* Ensemble Methods and Best Practices
* Best Practices and Recommendations
* MapReduce, Spark
* Bayes Theorem, Bayesian Methods and Text Data
* Clustering
* Effective Presentations
* Experimental Design
* Deep Networks
* Guest Lecture: Building Data Science
#DataScience #tutorial #beginners #free #Course
🌟

Introduction to Data Science
Data Science is the hottest field of the century. Learn more about why data science, artificial intelligence (AI) and machine learning are revolutionizing the way people do business and research around the world. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.


🔥 Free Training 🔥

#DataScience #tutorial #beginners #free #machineLearning #Course
🌟

Data Science Tools
Get started with some of the most popular tools for collaborative data science, including RStudio IDE, Jupyter Notebooks, Apache Zeppelin notebooks, and IBM Watson Studio. Use the tools directly on Skills Network Labs, a cloud lab environment that brings powerful open data science tools together so you can analyze, visualize, explore, clean data, run models and create apps.

🔥 Free Training 🔥

#DataScience #tutorial #beginners #free #machineLearning #Course #tools
🌟

Introduction to Python: Absolute Beginner - By Microsoft
In this course that's perfect for true beginners, learn Python basics and start coding right away.

What you'll learn
* Using Python in Jupyter Notebooks
* Gathering input and manipulating input/output
* Building reusable Functions with parameters and return values
* Decisions and repetition using conditional statements and loops

🔥 Free Training 🔥 —————— Pay only if you want a certificate

#python #tutorial #beginners #free #Course
🌟

Python Core and Advanced - Master the fundamentals of Python in easy steps

Whether you are a College student learning the fundamentals of Python or a Data Science expert using python to analyze your data or a Web Developer using python frameworks like DJango or a Experienced python developer who wants to fill in the gaps , this course will help you accomplish your goals.

🔥 Free Training 🔥 —————— Pay only if you want a certificate

#python #tutorial #advanced #free #Course
🌟

Data Science Methodology
This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.
Accordingly, in this
course, you will learn:
* The major steps involved in tackling a data science problem.
* The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment.
* How data scientists think!

🔥 Free Training 🔥

#DataScience #tutorial #beginners #free #machineLearning #Course
🌟

Future of Artificial Intelligence

Learn fundamentals of Artificial Intelligence from Scratch

AI
Course is divided into four sections.
* The first is about the introduction of Artificial Intelligence i.e. what is AI?
* The second is How & Why AI is important to us, etc. the next section covers the relevance of AI with other technologies like Data Science, Machine Learning, Internet of Things, Virtual Reality, etc.
* The third section covers the AI Project Cycle - Problem Scoping, Data Acquisition, Data Exploration, Modelling & Evaluation.
* The last section covers a case study on Neural Network. All these sections will help you to understand AI and also help to decide your career in AI.

🔥 Free AI Course 🔥

#ArtificialIntelligence #AI #tutorial #beginners #free #Course
Even More Python for Beginners: Data Tools by Microsoft
 Aspiring data-science and machine-learning developers now have more Microsoft-made free video tutorials to learn how to build software in Python, one of today's most popular and versatile programming languages.
The new More Python for Beginners series consists of 20 videos that run between two minutes and 15 minutes each. It covers working with files, lambdas or 'anonymous functions', and object-oriented programming, and each tutorial is followed by a short demo video. The tutors also introduce some newer functionality to support asynchronous development through async/await.



https://www.youtube.com/playlist?list=PLlrxD0HtieHhHnCUVtR8UHS7eLl33zfJ-
#course #python #beginners