👀 I have been taking courses related to data science, such as Python programming, machine learning, deep learning, natural language processing, etc. for several years, and after reviewing online courses, reading various books, educational blogs, etc. .. I decided to put all the content that made me progress during this time in the Github repo that I put the link below.
📂 Also, I have designed the scripts both in the presentation format (such as PowerPoint) and in the course notes format.
🚓 Deep Learning Roadmap 2024- Step-by-Step Career Path
Are you looking for a step-by-step Deep Learning Roadmap?… If yes, this article is for you. This article will provide a complete Deep Learning Roadmap from scratch. Along with that, you will also find some best resources to learn Deep Learning concepts.
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages
🔴 The Data Science Dojo website has created a collection of 32 datasets with different levels of difficulty to practice and improve your skills as a data scientist.
✅ This collection includes a diverse range of topics that are classified according to the level of difficulty so that it is suitable for everyone and challenges your theoretical knowledge and practical experience in different parts of data science, such as data cleaning, data visualization, machine learning, etc.
🇸🇾 The NVIDIA site has released a series of artificial intelligence courses that are extremely practical and free for students who want to learn more about this field and are still at the beginning of the journey. 💯
1️⃣Generative AI Explained course 📝 Definition of productive intelligence and how it works 🗂Link:LINK
2️⃣Building A Brain course 📝 How neural networks use data for learning. 🗂Link:LINK
3️⃣Augment your LLM Using RAG course 📝 Familiarity with RAG recovery process. 🗂Link:LINK
4️⃣Intro to AI in the Data Center course 📝 What is artificial intelligence and its applications. 🗂Link:LINK
5️⃣Accelerate Data Science Workflows course 📝 Understand the benefits of integrated workflow between CPUs and GPUs for data science tasks. 🗂 Link:LINK
6️⃣Recommender Systems course 📝 Strategies used to excel in a data science competition focused on building a recommendation system. 🗂Link:LINK
7️⃣Introduction to Networking course 📝 What is the network and why it is needed. 🗂Link:LINK
8️⃣Large-Scale Image Classification course An introduction to large-scale image classification. 🗂Link:LINK
📚 10 of the best free books in the field of data science 📑 that you should include in your learning program!
1️⃣ Python Data Science Handbook 📝 Using unique Python libraries with a focus on data science. 📕 Link: PDF
2️⃣Hands-On Machine Learning book 📝 This book explains the concepts of machine learning with practical examples and Python code and is suitable for novice programmers. 📕 Link: PDF
3️⃣Deep Learning book 📝 The best book for machine learning and deep learning written by 3 active and top researchers in these fields. 📕 Link: PDF
4️⃣R for Data Science book 📝 This book reflects the best ways to use R in data science. 📕 Link: PDF
5️⃣Data Science from Scratch book 📝 This book starts from the simplest possible level and provides you with all the necessary tools and skills to become a great data scientist. 📕 Link: PDF
6️⃣Machine Learning Yearning book 📝 Error detection in machine learning projects. 📕 Link: PDF
7️⃣Bayesian Methods for Hackers book 📝 Practical applications of Bayesian inference and probabilistic programming. 📕 Link: PDF
8️⃣The Elements of Statistical Learning book 📝 Investigating the mathematics of ML algorithms and statistical learning methods. 📕 Link: PDF
9️⃣ DATA SMART book 📝 Implementing complex data science problems using Excel and the tips and tricks of this process. 📕 Link: PDF
🔟 Intro to Statistical Learning with Python book 📝 Examples and practical applications of Python language in data science projects. 📕 Link: PDF
✅ +70 machine learning projects with Python with data set
🔴 With a simple search on the Internet, you can understand that many datasets are available for use in machine learning projects. I tried to collect more than 70 machine learning projects with Python along with datasets for machine learning beginners and experts with real world implementation.
🔻 You can access all these projects through the following link: 👇
🟢 5 free courses of productive artificial intelligence 📣 Comprehensive introduction to Generative AI and LLM 🔄 2024 update
⭐️ Google has updated its freeartificial intelligence course, and now this course includes 5 sections , and it is extremely useful for students who want to learn more about the field of artificial intelligence and are still in the beginning. 💯
To access these free courses, you can use the following link:
🔥Large selection of interview questions on DS, AI, ML, DL, NLP, computer vision.
A selection of interview questions will help you in interviews in the fields of data science, artificial intelligence, machine learning, deep learning, natural language processing, computer vision.
🤖 dear data scientists; You don't need to write code in Jupyter notebook anymore! With the Anaconda Assistant added to Jupiter Notebook, you can write a prompt and the code you want will be generated automatically!
Anaconda Assistant brings productive artificial intelligence to Python and data analysis and makes working with data easy for anyone. You can access this feature for free in your Anaconda notebook! 💯
💬 Among the uses of Anaconda Assistant:
🚀 Generate code and improve the coding experience 📊 Data visualization and analysis with more efficiency 📈 drawing diagrams 🐱 Explanation of the data frame and comments
🖥The most comprehensive educational resource for learning NLP
✅ If you want to have the most comprehensive educational resource for learning NLP , The Index NLPDon't miss it in any way! This site is recommended as a comprehensive and vital resource for people interested in NLP research, which includes more than 9000 related articles and codes , helping you to easily find the codes and articles you need to understand and implement your new research. .
This wonderful resource was launched by Quantum Stat and includes information such as article titles, abstracts, authors, and links to related articles and code repositories. You also have the possibility of quick search and connection diagrams between similar articles
🦾Made With ML : Learn how to combine machine learning with software engineering to design, develop, deploy and iterate on production-grade ML applications.
A 100% free course that will help you learn how to write production-grade MLOps code.
The course will teach you everything from design, modeling, testing, working with learning models and much more for free!
More than 35 thousand stars on Github
Learn how to design, develop, deploy, and operate production-grade ML applications.
💐 Python will include 57% of data scientist job ads in 2024 . It is still the number one programming language for data scientists.
✅ Now, if you are looking for the best resources to improve your Python skills, after searching and reviewing various resources, I have prepared a list of 12 top channels that provide first-class Python training, which can turn beginners into professional Python programmers. convert
