GaikwadrohitPrincipal Component Analysis (PCA) is a widely used technique in data analysis that allows for the…Understanding Principal Component Analysis (PCA)Feb 23, 2023Feb 23, 2023
GaikwadrohitK-Means is an unsupervised machine learning algorithm used for clustering.The algorithm starts by randomly selecting K initial centroids. Then, for each data point, it calculates the distance to each centroid and…Feb 10, 2023Feb 10, 2023
GaikwadrohitLogistic Regression is a type of regression analysis in statistics where the dependent variable is…The logistic regression model is represented by the following equation:Feb 5, 2023Feb 5, 2023
GaikwadrohitMultiple Linear Regression is a type of regression analysis in statistics where the dependent…The goal of multiple linear regression is to model the relationship between the independent variables and the dependent variable, and then…Feb 5, 2023Feb 5, 2023
GaikwadrohitLinear Regression is a supervised learning algorithm used to predict a continuous target variable…Import libraries: Start by importing the necessary libraries, such as NumPy and Pandas, for data manipulation and analysis, and Matplotlib…Jan 30, 2023Jan 30, 2023
GaikwadrohitMachine Learningimport pandas as pd from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestClassifier from…Jan 30, 2023Jan 30, 2023
GaikwadrohitTime series analysis is a powerful technique used to analyze data collected over time.A time series is a set of data points collected at regular intervals over time. These data points can be anything from stock prices to…Jan 28, 2023Jan 28, 2023
GaikwadrohitData science is a rapidly growing field that is revolutionizing the way we understand and make…One of the most significant advantages of data science is the ability to make data-driven decisions. Instead of relying on intuition or…Jan 27, 2023Jan 27, 2023