1.neural-network_back-propagation_ds_class

50_startups_assignment

adafruit_python_pca9685

Python code to use the PCA9685 PWM servo/LED controller with a Raspberry Pi or BeagleBone black.

analytics_pandas_part_1

What is Pandas? Pandas is a Python library used for working with data sets. It has functions for analyzing, cleaning, exploring, and manipulating data. The name "Pandas" has a reference to both "Panel Data", and "Python Data Analysis" and was created by Wes McKinney in 2008. Why Use Pandas? Pandas allows us to analyze big data and make conclusions based on statistical theories. Pandas can clean messy data sets, and make them readable and relevant. Relevant data is very important in data science.

analytics_pandas_part_2

anime-recommendation-system

apis-with-requests

Foreign exchange rates API with currency conversion

apis_that_requires_an_authentication_practice

apply_function

It is one of the commonly used Pandas functions for manipulating a pandas dataframe and creating new variables. Pandas Apply function returns some value after passing each row/column of a data frame with some function. The function can be both default or user-defined.

assignment_of_association_rules_on_mymovies_dataset

association-rules

association_rules_on_book

banknote_authentication

This project is entirely based on finding out the bank note authentication. Here libraries are used for cleaning the data, Understanding the data, visualization of the data, and final building different types of model to find out best of it. The ML, Clustering Techniques, Heatmap etc are used for the better visualization.

binita72

binita72-binita72

bootcamp_python_practice

car-price-prediction

car_price_prediction

chatbot_based_on_ai

To create an automated chatbot that replies to the Data Science Questions (Live Project) Tools : Python, Pickle, sklearn, ,matplot and NLTK libraries, Tensorflow, Keras, Streamlit Methods : Self Learning Bot using NLP

chatterbot

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

classification-project

clustering_on_crime_dataset_ds

Finding the optimal number of clusters. Minimizing distortion Creating and analyzing the elbow curve. Understanding the mechanism of k-means algorithm.

code_practice1

complete-feature-selection

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

conditional_statements

This repository is only for understanding and practice.

confidence_interval_homework

cricket-tournament-simulation

customer_personality_analysis

data-science-assignments_6093091572242797