Michael Tobiko 's Projects
Approaching (Almost) Any Machine Learning Problem
An Autonomous robot can learn its environments and work without breaks. It can use infrared or ultrasound sensors to help increase their precision and accuracy.
This Power BI report highlights the sales performance of various cookie companies, namely: Cascade Grovers, Quick Bite Convenience Stores, YT Restaurants, Park & Eat LLC, and Acme Grocery Stores.
Understand how to predict wine quality rating using different machine learning techniques.
Config files for my GitHub profile.
How can machine learning help with credit card fraud detection? Machine learning models can recognise unusual credit card transactions and fraud. The first and foremost step involves collecting and sorting raw data, which is then used to train the model to predict the probability of fraud
Rainfall prediction is one of the challenging tasks in weather forecasting process. Accurate rainfall prediction is now more difficult than before due to the extreme climate variations. Machine learning techniques can predict rainfall by extracting hidden patterns from historical weather data.
I have implemented state-of-the-art deep learning techniques to detect and localize objects within images and real-time video. By leveraging the power of convolutional neural networks (CNNs) and advanced object detection algorithms, I have developed a robust system that can accurately identify and locate objects of interest in real-world images.
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
A collection of Proteus Library for Arduino
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent