Important Python libraries and packages
2021-06-17
Different libraries and packages that can be used for implementing machine learning models in Python: NumPy: Great for multi-dimensional array and matricesContinue Reading
What is a Problem Statement?
2021-01-04
A problem statement is one or two sentences that describe the problem your product or service is trying to address.Continue Reading
Managing Missing Values: Details
2020-10-13
Handling Missing Values when Training a Machine Learning Model NaïveBayes: Naïve Bayes models elegantly handle missing values for training andContinue Reading
Try New Kaggle Course: Intro to Deep Learning
2020-10-13
About Deep Learning, the technique built upon artificial neural networks. With an all-new introductory course, Intro to Deep Learning ,Continue Reading
Ensemble Modeling
2020-09-14
Ensemble modeling is a process where multiple diverse base models are used to predict an outcome. The motivation for usingContinue Reading
Parametric vs. Non-parametric [ Machine Learning ]
2020-07-16
Assumptions about the shape and structure of the function they try to learn, machine learning algorithms can be divided into two categories: parametric and nonparametric. ParametricContinue Reading
Popular algorithms for data analysis(Machine Learning)
2020-05-26
The algorithms we list here are used for classification, clustering, statistical learning, association analysis and link mining. The list givesContinue Reading
Writing Clean Code: Meaningful Names
2020-05-22
Meaningful Names – Clean Code “If a name requires a comment, then the name does not reveal its intent” WriteContinue Reading
Data Preprocessing using Python for SQL Server
2020-05-20
“Data is the new science. Big Data holds the answers.” – By Pat Gelsinger, Chief Executive Officer at VMware TableContinue Reading