manav54321 Goto Github PK

a-decision-tree-classifier-to-predict-whether-a-customer-will-purchase-a-product-or-service

https://colab.research.google.com/drive/1BpJNAL_7KBwii424AdiFWaTaKQqkzfbN?usp=sharing

batch-gradient-descent-from-scratch-for-multiple-linear-regression

batch gradient descent from scratch for multiple linear regression

column-transformer

discretization-binning-

dl_04

Hello, this is day_04 of Deep Learning journey, and this contains what is Perceptron?

dl_05

perceptron_trick_from_scratch

dl_06

perceptron_hinge_loss_fxn_gradient_descent

farmai

feature_scaling-standardization-on-social-media-ads-data

feature_scaling standardization on social media ads data

fit_transform-vs-transform

k-means_clustering

K-means clustering is a widely used unsupervised learning algorithm that partitions a set of objects into a predetermined number of clusters. The goal is to minimize the sum of the squared distances between the objects and their assigned cluster mean

manav54321

Config files for my GitHub profile.

numpy

one-hot-encoding

one hot encoding on a categorical data

pandas-on-ipl-ds

ipl analysis with use of pandas

pandas-profiling

placement_model

the model will predict if the student will be placed or not with the help of their iq and cgpa

simple_linear_regression_fromscratch

tensors_ml

titanic-prediction-using-decision-tree-pipelines-

Titanic prediction using decision tree (pipelines)

transaction-fraud-detection-using-ml

understand_data_and_eda_titanic

working-with-sql-in-pandas

working with SQL in Pandas

worldbank_populations

Task-01 (YouTube) link