AI course experiments

Contains basic codes for AI & Machine learning.

Brought to you by: kalipradeep

Downloads: 0 This Week

Last Update: 2020-11-25

Get an email when there's a new version of AI course experiments

Hi, I am kali Pradeep.

This project contains carefully prepared programs with solutions and datasets.

The programs were created keeping in mind absolute beginners with no taste of AI and ML.

These programs were created after heavy brainstorming. Anyone can use these programmes. There are no copyrights for these experiments.

Go to the Files tab. Every program is kept in a folder with the necessary datasets. All programs are in IPYNB format.
Simply download it and open it with COLAB or jupyter notebook.

Enjoy

Project Samples

Beauty of seaborn

Project Activity

See All Activity >

Follow AI course experiments

AI course experiments Web Site

Other Useful Business Software

MongoDB Atlas runs apps anywhere Icon

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.

Start Free

Additional Project Details

Registered

2020-09-11

Report inappropriate content

Recommended Projects

JupyterLab Desktop
JupyterLab Desktop is the cross-platform desktop application for JupyterLab. It is the quickest and easiest way to get started with Jupyter notebooks on your personal computer, with the flexibility for advanced use cases. JupyterLab Desktop can be launched from the GUI of your operating system...
The Neural Process Family
Neural Processes (NPs) is a collection of interactive Jupyter/Colab notebook implementations developed by Google DeepMind, showcasing three foundational probabilistic machine learning models: Conditional Neural Processes (CNPs), Neural Processes (NPs), and Attentive Neural Processes (ANPs)....
BertViz
BertViz is an interactive tool for visualizing attention in Transformer language models such as BERT, GPT2, or T5. It can be run inside a Jupyter or Colab notebook through a simple Python API that supports most Huggingface models. BertViz extends the Tensor2Tensor visualization tool by Llion...
atpbar
Progress bars for threading and multiprocessing tasks on the terminal and Jupyter Notebook. atpbar can display multiple progress bars simultaneously growing to show the progresses of iterations of loops in threading or multiprocessing tasks. atpbar can display progress bars on the terminal and...
Improved GAN
Improved-GAN is the official code release from OpenAI accompanying the research paper Improved Techniques for Training GANs. It provides implementations of experiments conducted on datasets such as MNIST, SVHN, CIFAR-10, and ImageNet. The project focuses on demonstrating enhanced training...