Data Visualization Nanodegree
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Updated
Feb 22, 2021
Data Visualization Nanodegree
Project for "Introduction to programming in Python" course
We're going to take a quick tour of the Data Refinery tool. Data Refinery can quickly filter and mutate data, create quick visualizations, and do other data cleansing tasks from an easy to use user interface.
User Specific Chess Data Analysis
На основании данных о геологоразведке построить модели прогноза запасов нефтяных скважин для регионов, выбрать регион для разработки с приемлемым порогом риска безубыточности и наиболее перспективными ресурсами.
A model, trained to classify dog breeds based on a dataset of images using a convolutional neural network (CNN) with TensorFlow and Keras.
A multi-threaded Python CLI tool to created a controlled vocabulary
Convert the VUI Excel XLSX corpus file into a open file formats.
Various projects across industries using popular machine learning algorithms.
Predicting the spread of Covid-19 disease by country through time series forecasting along with building an R shiny dashboard for users to select a country and get its results
Applying Natural Language Processing (NLP) to simple conversations such that result is a computer capable of "understanding" the contents of the conversations.
This repository serves as a comprehensive resource for Python data preparation scripts, tools, and utilities. Data preparation is a crucial step in the data analysis and machine learning workflow, and this repository aims to simplify and streamline the process.
Data analytics course by RevoU
For MLSA Workshop
A data preprocessing tool for `MyMickiewicz`.
Using publicly available data for the national factors that impact supply and demand of homes in US, build a data science model to study the effect of these variables on home prices.
This project is my personal project about Marketing Campaign using dataset from Big Tech Company provided by Rakamain Academy. I created Clustering Model with Python (Sklearn) to get best model from the dataset that can used for arrange their next marketing strategic planning.
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