✨ A plotter for reinforcement learning (RL)

📉 Visualize your Deep Learning training in static graphics

All about machine learning

Machine Learning analysis for an imbalanced dataset. Developed as final project for the course "Machine Learning and Intelligent Systems" at Eurecom, Sophia Antipolis

Image processing with python and Machine learning. This is about analyzing Ayurveda plants and detection through uploading an image of plant leaves or flowers.

Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

Implementation of Andrew Ng's machine learning exercises in Julia

Using Alexnet Architecture for Multiclass Fruit Classification

An Implementation of Crawford's and Wright's Learning Curve Production Functions

Usages Examples for ML-Logger

Plotting cost curves of solar PV

Regularization

Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervise…

Предсказание прибыльного региона нефтедобычи

The goal is to predict whether or not a passenger survived based on attributes such as their age, sex, passenger class, where they embarked, etc.

Simple tools for Python language to plot learning curves of a neural network model trained with the keras or scikit-learn framework.

Boston house prices prediction for machine learning nanodegree

Rent pricing prediction on NY properties with interactive dashboards.