Kaggle Computer Vision answers deep-learningimage-processingkagglekaggle-notebook UpdatedApr 4, 2024 Jupyter Notebook This repository facilitates the creation of Python wheel files (.whl) from the tiny-cuda-nn project to streamline the installation process on Google Colab. ...
You can of course try to develop some form ofbrowser automation but it’s not reliable and, if you’ve been frequently using ChatGPT, you’ve noticed that answers tend to be slow, with a capped daily volume per user. It’s much better to connect directly to the OpenAI API via Python....
Ronak Agarwal · Posted 2 months ago in Questions & Answers arrow_drop_up8more_vert Can you share any tips for improving coding skills, especially in Python and NumPy? I recently complete the python and NumPy course and want to grow my career in machine learning field , so share any tip...
The only libraries needed to run this code are the standard ones in Data Science: Python 3.X, Jupyter, NumPy, Pandas, Matplotlib, SKLearn, and Seaborn Project Description I used the Kaggle dataset about Student Performance in Math over the course of 3 years to try to better understand the...
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In my way of thinking, you first need to learn python basic and after it move into the machine learning and after it move into the deep learning and then the start Data Science. Most important thing is finding a Mantor in the life who treats you suggest you. Start now, your present de...
@maxalpha555 Hello, maybe this book will help you improve your ML skills https://jakevdp.github.io/PythonDataScienceHandbook/ This comment has been deleted. Posted a month ago arrow_drop_up3more_vert @esmanurdeli Thank you so much for the recommendation Posted 21 days ago arrow_drop_up...
Posted3 months ago Not strictly, no. For example, Introduction to AI Ethics has no prerequisite. Meanwhile, Game AI and Reinforcement Learning only requires Python. And Geospatial Analysis is easy once you know Pandas. The first lesson of every course talk about what you need to do well. ...
Dhev Mugunddhan A Posted3 months ago Hi, I would say how I learnt those both in my own experience. Pytorch I used the youtube video ofPatrick Loeber I also went through thiscoursewhich they provide a book also, deeplearning with pytorch and fastai. That's a really good one. ...
"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron: A practical guide to machine learning, deep learning, and neural networks using Python. ** Online Platforms and Tutorials** TensorFlow Tutorials: TensorFlow is a popular deep learning framework, and its offic...