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100-days-of-machine-learning

100-days-of-ml-code

A 100 Day ML Challenge to learn and implement ML/DL concepts ranging from the basics of Machine Learning to advanced Deep Learning.

amazon-recommender-system

I this repository i have tried the build a recommender system which recommends similar cloth. I have used amazon dataset to build this recommender system.

bag_of_words

In this repository one can learn to code the bag of words from scratch.

coefficient_matrices

In this section you can find implementation of various performance matrices from scratch.

grid_search_algorithm

This is an algorithm which used in find the best hyper parameter. In this repository, you will find its implementation from scratch.

human-activity-recognition

In the project i have tried to build and ML and DL model to classify the activity perform by human. The activity mainly related to indoor activity such as walking, talking, standing, and sitting.

kfoldcrossvalidation

In this repository you will be learning the implementation of KfodCorssValidation. The code is loaded with descriptive comments.

learning-opencv-4-computer-vision-with-python-third-edition

Learning OpenCV 4 Computer Vision with Python 3 – Third Edition, published by Packt

netflix_recommender_system

In this repository i have tried to build a movie recommender system. The recommender system has been build from scratch without the Sklearn library. I i have used cosine similarity to identify the similar movies. The note book contains all preprocessing steps and has descriptive comment so that one can easily understand.

python-programming

In this section you will learn different concepts of python through programming.

random_search_algorithm

The random search algorithm is used to search the best hyper parameter. In this section one will be to understand the implementation of this algorithm from scratch.

tf_idf-vectorizer

In this you can find the tf_idf implementation from scatch.

the-grand-complete-data-science-materials

yolov8