Data Science

2024-08-23

Generate Feature Importance Using Scikit learn, Random Forest

Learn a basic concept to use Random forest applied to your projects and compare the result amongst different methods

2024-03-18

TensorFlow vs Keras: Key Differences

TensorFlow is an open-source deep learning library developed and maintained by Google. It offers a range of machine learning tasks and can run on multiple CPUs, GPUs, and even mobile operating systems

2024-03-18

Keras: A Beginner’s Guide

In this tutorial, I will demonstrate how to create a simple feed-forward neural network using Keras and TensorFlow in Python. We will use the Keras library, which is a high-level library for deep lear

2024-03-18

Installing Keras and Tensorflow: A Correct Guide

To install Keras and TensorFlow, use pip to install TensorFlow and then install Keras separately. For TensorFlow, you can install the binary version from the Python Package Index (PyPI). There are thr

2024-03-18

Understanding Machine Learning: An In-Depth Definition

Machine learning is a powerful tool in the world of AI, but it relies heavily on the ability to deploy artificial intelligence successfully. However, it can transform machines into thinking devices by

2024-03-13

How to Effectively Use Numpy Array Indexing for AI Training

Learn how to unlock powerful data explorations with Numpy array indexing. This article will provide you with essential steps to quickly get started and efficiently access and manipulate

2024-03-13

Quickly Master Numpy Normal Distribution for Financial Modeling

Speed up data preprocessing with Numpy Normal distribution – Learn how to quickly reduce time-consuming data preprocessing tasks with this powerful tool. Discover how

2024-03-13

Using Numpy Binomial Distribution for Accurate Data Analysis

Discover the power of Numpy binomial distribution! Learn how this reliable tool helps accurately and quickly analyze data and make well-informed decisions. Get the most out

2024-03-13

Speed Up Data Preprocessing with Numpy Array Slicing

Speed up data preprocessing with Numpy Array Slicing – Learn how to quickly reduce time-consuming data preprocessing tasks with this powerful tool. Discover how

2024-03-13

Stock Daily Pricing Visualization Using yFinance, mplfinance

In this article, I would walk you through how to visualize ticker stock daily pricing and volume using yFinance, mplfinance and Pandas

2024-03-12

Build a Pricing Prediction Model Using Python, Scikit learn, Linear

In this piece, I would walk you through brieflyf how to predict a variant pricing based on having considered multiple variables that might be correlated to the pricing change. By the end of this piece

2024-03-12

Tips for Data Preprocessing Using Python and Scikit Learn

1 plus 2 critical data preprocessing steps using Python, Scikit Learn. You can start working out on machine learning, data analysis project

2024-03-12

Stock Portfolio Trend Visualization Using Python, matplotlib

Previously I shared the way to visualise daily pricing in a candle type data format, here I would walk through how to visualise a collection of stock portfolio in a time series data format.

2024-03-12

Price Prediction: Ticker & NASDAQ Price Correlation Using Python

Determination is likely being affected by one variant to one variable, or one variant to multiple variables. Machine makes decision based on maths. So in this article, I would walk through how to gene

2024-03-12

Pandas Set_Index().T - Convert a Column Value into a Row

This article shares how to convert a column into a row using Set_index().T given by Pandas and Python, learn and get the script.

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