Sampling Bias in Data Science
Upvote 2+ How to Deal with Your Model’s Hidden Enemy Let’s imagine the following situation. You are working on a multi-class image classification problem, say, the MNIST Handwritten Digits problem (One of the most...
Category: Data Science
Word2Vec Implementation using Python Gensim and Google Colab
Upvote 8+ We will understand how the implementation of Word2Vec is processed using the Python library Gensim on a free cloud-based environment provided by Google, Colab. This is only to learn what a basic...
How Not to Fail at Data Science
Upvote 2+ List of Data Science Best Practices that Will Set You Apart from the Crowd As of July 2020, more than 900,000 LinkedIn profiles have the word “Data Science” in them. Out of...
Introducing Word2Vec & Word Embedding- Detailed Explanation
Upvote 5+ The article aims to throw light on the basic concepts of the processing of the Word2Vec model by covering topics that will help you get a clear idea of the technique. What...
Linear Regression in Machine Learning- Detailed
Upvote 2+ The beginners of Machine Learning(ML) start with the Linear Regression algorithm, personally speaking, while on my journey to learn Machine Learning, the first algorithm I encountered was this one. The Linear Regression...
Creating a Bar Chart Race animation function using Python
Upvote 3+ Bar chart race function in python A bar chart race changes the sequence of bars in an animated way. The data values keep changing every second in ascending and descending order as...
Machine Learning- Intro to Supervised Learning
Upvote 0 Supervised Machine Learning algorithms like linear regression, logistic regression, etc are said to be the starting point of the journey of a Data Scientists or a Machine Learning specialist. From today onwards...
13 Ultimate Seaborn tricks using Python
This tutorial discusses and shows code by code of Seaborn using Python.
How does a confusion matrix work in classification models?
Upvote 1+ The confusion matrix is basically used to know the performance measurement of a trained(fit) classification model. It tells the Data Scientists as to where they stand with respect to the number of...
Pandas: 10 minutes 15 basics Part 2
Upvote 2+ In my previous Pandas tutorial, I discussed in-depth about the basics of Pandas such as importing pandas in python, doing mathematical calculations, accessing data frames, adding labels to the data series, etc...
