When you work with Pandas Dataframes and you have typing unfriendly column names, it really decreases your speed. In this tutorial, I will go through one of the problems in column names — column names with upper cases.
If you are here to learn how to lower case the column names, you already know how to upload dataset and the other casual stuff:
import pandas as pd
df = pd.read_csv('dataset.csv')
df.head()
Classification is one of the two branches of Supervised Learning. As the name suggests it divides objects into groups or classes based on their features.
Logistic Regression is among the most used Classification algorithms. In this paper, I will show the Python implementation of the algorithm. …
Yəqin ki, hamımız dedektiv janrda yazılmış əsərlərlə tanışıq. Dedektiv problem ilə tanış olur, daha sonra sorğu-sual edərək məlumatlar toplayır və sonda həmin məlumatlar arasında məntiqi uyğunluq quraraq qatilin kim olduğunu tapır. Bəzən bizə lazım olan bütün informasiyanı bilsək də, problemi həll etmək üçün bu kifayət etmir. …
Python is considered the best programming language for Machine Learning and AI based projects because of its great variety of libraries and frameworks. Scikit-learn is likely the most useful library for Machine Learning in Python. …
Linear Regression is a Supervised Machine Learning which is used to predict values within a certain range, rather than classifying them into categories.
In this article you can find the implementation of Univariate Linear Regression in Python without using any machine learning library. …
Linear Regression is among mostly used Machine Learning algorithms. Univariate Linear Regression is the simpler form, while Multivariate Linear Regression is for more complicated problems.
This is my second paper about Linear Regression, first one is on Univariate Linear Regression. You can look through it for getting background knowledge on…
Linear Regression (LR) is one of the main algorithms in Supervised Machine Learning. It solves many regression problems and it is easy to implement. This paper is about Univariate Linear Regression(ULR) which is the simplest version of LR.
The paper contains following topics:
