Momentum trading with MACD and RSI — Yfinance & Python.

#TradersWhoCode

Make your parallel NumPy code fast: the secret sauce

Using NumPy efficiently between processes

How to run Jupyter Notebook on Android?

Recently, I was searching for Jupyter Notebook to run my Android mobile. But there was no…

Credit Card Fraud Detection: In-Depth Study: Evaluating the Classification Model

A Major part of…

How to classify sounds using Pytorch

In this article , I am going to talk about how we can prepare the sound or, audio dataset so…

Comparing Image Classification with Dense Neural Network and Convolutional Neural Network

Test time Augmentation using PyTorch

In image classification, while we are going to predict classes for our test set images after…

Bitcoin Price Prediction with Random Forest and Technical Indicators

Video Augmentation for Machine Learning Using Multithreading

Credit Risk Scorecards — Introduction, Roles of people involved, Stages in the development.

III. Creating profitable trading strategies

Two ways to generate profits thanks to Deep Learning models.

Best Model in PyTorch after training across all Folds

Monitoring NBA injuries with Python

In 30 seconds : collect updates on the web, store them in a csv, send via e-mail.

IV. Deploy a Poloniex trading bot

Using the Poloniex API to create an autonomous trading bot

The K-Nearest Neighbor (kNN) Machine Learning algorithm-Part 1

Fear is not on the edge when you have…

Apply any metrics in PyTorch

In this article, we will understand how we can apply any metrics from scikit learn library in our pytorch…

Deep Learning Specialization

Neural Networks and Deep Learning (Week 3 and 4 Notes)

Deep Learning Specialization

Neural Networks and Deep Learning Course Notes

Optimized Allocation of Streams to Heat Exchangers — Framing a Minimization Problem using Python’s PuLP module

K-Nearest Neighbors- Classification technique in Machine Learning.

Deep Learning Specialization

Course Notes On The Famous Course In AI

Brief Overview Of Indian Restaurants In Melbourne (Using Python And Statistics)

They solve the Schrödinger equation with the help of Artificial Intelligence

Machine Learning Algorithms: Logistic Regression

Applied Machine Learning — Snapshot

Applied Machine Learning is the application of Machine Learning for a specific Data-related…

Python Fundamentals for Everybody — Variables

This is the second of many articles on Python Fundamentals for Everyone, a…

Introduction to Numerical Computing With Numpy -Python