nickvega1989 / Predicting-Housing-PricesLinks
Public Repo of my machine learning project to predict home prices
☆11Updated 5 years ago
Alternatives and similar repositories for Predicting-Housing-Prices
Users that are interested in Predicting-Housing-Prices are comparing it to the libraries listed below
Sorting:
- Code repo for Packt course I developed, "Beginning Data Wrangling with Python"☆30Updated 5 years ago
- ☆10Updated 5 years ago
- Creating a Gradio user interface to predict the sentiment of a tweet☆11Updated 3 years ago
- An overview of the Folium library to visualize Geospatial data☆19Updated 6 years ago
- Test LightGBM's Dask integration on different cluster types☆12Updated last week
- This repository explores various Numpy commands which are quite useful for working with datasets and handling array operations.☆13Updated 6 years ago
- A sentiment analysis project performed on data collected from Twitter mentioning the two primary contestants in the 2020 US Elections.☆11Updated 4 years ago
- A collection of Python scripts☆13Updated 5 years ago
- Laptop Prices Predictor is an end-to-end data science project that accurately predicts laptop prices using machine learning algorithms. T…☆13Updated 11 months ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆31Updated 5 years ago
- Modelling Maximum Drawdown with Python☆10Updated 4 years ago
- Repository for GH public projects☆18Updated last year
- Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer C…☆10Updated 5 years ago
- Applied Computational Thinking with Python, published by Packt☆44Updated 2 years ago
- TensorFlow materials☆13Updated 4 years ago
- ☆9Updated 4 years ago
- datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest…☆58Updated 3 years ago
- Data Analysis and Visualization on Airbnb Data☆11Updated 6 years ago
- Material from presentations☆13Updated last month
- How to do data science with Optimus, Spark and Python.☆19Updated 5 years ago
- A selection of business datasets☆18Updated 5 years ago
- Demonstrating the efficiency of pmdarima’s auto_arima() function compared to implementing a traditional ARIMA model.☆9Updated 4 years ago
- ☆12Updated 5 years ago
- ☆26Updated 5 years ago
- ☆28Updated 2 years ago
- ☆16Updated 7 years ago
- Few tutorials on pandas, matplotlib and seaborn☆27Updated 9 years ago
- Fundamentals of Machine Learning with Scikit-Learn☆17Updated 4 years ago
- Natural Language Processing☆28Updated last year
- This data visualization project explores various libraries including gmplot, GeoPandas, Plotly and Bokeh to plot locations on maps using …☆11Updated 6 years ago