timmwrite/Materialized-CSS

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Created over 5 years ago
Updated over 5 years ago

timmwrite/Materialized-CSS

timmwrite

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A simple responsive website that can be used for either business, travel etc.

Landing-page

Python-Generators-Explained

are simple functions which return an iterable set of items, one at a time, in a special way. When an iteration over a set of item starts using the for statement, the generator is run

Traffic-Jam-Predicting-People-s-Movement-into-Nairobi

The aim of the competition is to create a predictive model using traffic data provided from Uber Movement and historic bus ticket sales data from Mobiticket to predict the number of tickets that will be sold for buses into Nairobi from cities in "up country" Kenya.

Jupyter Notebook

simple-ecommerce-website

This is just a simple e-commerce website for quick product view using simple HTML CSS and JQUERY. easy to understand everyone and easy to customize so please apply your next project.

Dice-Rolling-Simulator

Like the title suggests, this project involves writing a program that simulates rolling dice. When the program runs, it will randomly choose a number between 1 and 6. (Or whatever other integer you prefer — the number of sides on the die is up to you.) The program will print what that number is. It should then ask you if you’d like to roll again. Include tests for this program.

Company-website-

This a company website template build from scratch using HTML CSS AND JS no frameworks. The reason fr doing so is for the purpose of code maintainability and to give a new view of originality. Note that the site is not yet over as I am working on the back-end using python (Flask Restful API)

school-management-system

The system can register new members, grade and rank plus can display the student info

Pandas

Jupyter Notebook

Business-intelligence-analytics

Plotly defines Dash as a Python framework for building web applications with the added benefit that no JavaScript is required.

RESTful-Api-Flask-

Flask-RESTful-Api

Venda

Test

Titanic-passenger-data-prediction

The challenge The competition is simple: we want you to use the Titanic passenger data (name, age, price of ticket, etc) to try to predict who will survive and who will die.

Jupyter Notebook

New-App-Error

Python-Postgres-db

Postgres db Toolkit

test1

Data-structures

Matplotlib

Iris-project

Deploying machine learning algorithm using flask RESTful Api

Numpy

Introduction to numpy

DATA-VISUALIZATION-for-BRAZIL-FOREST-FIRES

This dataset report of the number of forest fires in Brazil divided by states. The series comprises the period of approximately 10 years (1998 to 2017). The data were obtained from the official website of the Brazilian government.

Jupyter Notebook

AppErro

Venda-app

temp

K-Nearest-Neighbors-Iris-dataset-

Jupyter Notebook

Classes-in-Python-

Titanic-dataset---Machine-Learning

simple-landing-page-using-Html-Css-and-Js-

This is a simple landing page using bootstrap 4.

ADTs-implementaion

Data-visualization

Jupyter Notebook

collabo

Datastructures-

Icodeai

Python-Fundamentals-ICodeAI-

Classes provide a means of bundling data and functionality together. Creating a new class creates a new type of object, allowing new instances of that type to be made. Each class instance can have attributes attached to it for maintaining its state. Class instances can also have methods (defined by its class) for modifying its state.

Movie-Recommender-System

Recommender System is a system that seeks to predict or filter preferences according to the user’s choices. Recommender systems are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general.

Jupyter Notebook

For-Loop-in-python

A for loop is used for iterating over a sequence (that is either a list, a tuple, a dictionary, a set, or a string). This is less like the for keyword in other programming languages, and works more like an iterator method as found in other object-orientated programming languages. With the for loop we can execute a set of statements, once for each item in a list, tuple, set etc.