IBMDeveloperUK / Machine-Learning-Models-with-AUTO-AI
In this workshop you will learn how to build and deploy your own AI Models
☆10Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Machine-Learning-Models-with-AUTO-AI
- An Interactive Approach to Understanding Supervised Learning Algorithms☆29Updated 2 years ago
- ☆32Updated 4 years ago
- ☆15Updated 2 years ago
- Data Analysis and Visualization on Airbnb Data☆11Updated 6 years ago
- A curated list of suggested reading materials.☆14Updated last month
- These projects use pandas, matplotlib, numpy, scipy and scikitlearn☆9Updated 2 years ago
- Creating a Gradio user interface to predict the sentiment of a tweet☆12Updated 2 years ago
- An introductory IBM Developer Code Pattern on how to use PixieDust to visualize customer data☆14Updated 5 years ago
- [Video]Colab Notebooks for Python for Data Science by Pearson☆38Updated last year
- Laptop Prices Predictor is an end-to-end data science project that accurately predicts laptop prices using machine learning algorithms. T…☆14Updated 3 months ago
- Slides and notebook for the workshop on serving bert models in production☆24Updated 2 years ago
- ☆29Updated 2 years ago
- Public Repo of my machine learning project to predict home prices☆11Updated 4 years ago
- Operations Research Algorithms☆17Updated 8 months ago
- ☆29Updated last year
- Hands on Unsupervised Learning with Python [Video], Published by Packt☆29Updated last year
- A tutorial that helps Big Data Engineers ramp up faster by getting familiar with PySpark dataframes and functions. It also covers topics …☆18Updated 3 years ago
- Conference Material☆34Updated 2 months ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆30Updated 5 years ago
- This repository explores various Numpy commands which are quite useful for working with datasets and handling array operations.☆13Updated 6 years ago
- pandas, numpy, matplotlib, data-wrangling☆26Updated last year
- This is the repository with teaching material, exercises and solutions for the SQL crash course.☆14Updated 5 years ago
- A repository for organizing my existing repositories and presenting a call to action for collaborators☆13Updated 6 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆36Updated 5 years ago
- ☆18Updated 4 years ago
- An Interactive Approach to Understanding Deep Learning with Keras☆48Updated last year
- TensorFlow materials☆13Updated 3 years ago
- The repository for the course in Udemy☆17Updated 5 years ago
- "Building a Recommender System from Scratch" Workshop Material for PyDataDC 2018☆23Updated 6 years ago
- Tutorials for using Tensorflow and Keras for NLP☆14Updated 6 years ago