Model evaluation is the process of assessing the performance of a machine learning model on a data set. It is an important step in the development of a machine learning model, as it allows us to determine how well the model is able to make accurate predictions on unseen data. Previously, we wrote blogs on […]
Making Money with Programming
This post has been cross-posted from q-viper.github.io. How much do you know about Making money with programming in this decade? It is getting broader and more expansive. With the availability of a wide range of internet and lots of technology, many people are engaged with technology nowadays and the need to provide good tech has […]
Different Method of Model Evaluation(Part-1)
Accuracy is a metric that is used to evaluate the performance of a model on a classification task. It is the fraction of correct predictions made by the model on a data set, expressed as a percentage. For example, if a model makes 90 correct predictions out of 100, its accuracy is 90%. Previously, we […]
Auto-encoders from Scratch in Python
Auto-encoders from scratch will be done over the concept of Neural Network from Scratch that I already did. You can find it on my following blogs. Feed Forward Neural Network from Scratch Convolutional Neural Network from Scratch I also have written Run Length Encoding from Scratch and you can give it a try if you’d […]
How to do Preprocessing of Dataset Before Applying Machine Learning Algorithms
Load the dataset First, import the packages required to continue. import pandas as pd import numpy as np import matplotlib.pyplot as plt %matplotlib inline Read the dataset using Pandas Read previously loaded data and store it in a variable named df, display the first few rows with head(), by default head() will return first 5 […]
Find DateTime in the Text Using Python
Why do we need to find DateTime in the text? In the field of data science, we often have to deal with various kinds of data and one of the common is Text data but sometimes datetime in the text has to be extracted. Before jumping into a topic let’s first start with a problem […]
How Mathematically Naive Bayes Classifier Works?
Previously, we wrote blogs on many machine learning algorithms as well as many other topics to help you broaden your knowledge. Please kindly visit our site and we would be glad if we got some feedback from you to improve our writing. To see some of them, you can follow the mentioned links. Linear Regression […]
Basics of Stock Backtesting in Python
Stock Backtesting in Python is way of testing our strategy in a historical data to see if our strategy makes any money or not. Let’s start with a simple story. John and Joe are two best friends. They both earned some money from their hard working corporate job and wanted to invest it in a […]
Simple Sampling vs Importance Sampling from Monte Carlo Method
We shared the blog, which all are related to Monte Carlo based on simple sampling. To see the previous blogs of Monte Carlo, you can visit the following link. How Can We Generate Random Number From Congruential Method? How to calculate integration using Monte Carlo Method? Estimation of Value of Pi in Different Dimension Why […]
Multi-threading in Python: Basics
Multi-threading in Python is often used when there are tasks related to I/O bound. But before going further, let’s take a few examples where multi-threading could be used: Downloading images from the web and doing image processing-related tasks. It takes some time to download the image and some time to process it too but these […]