patrick013 / Classification-Algorithms-with-PythonLinks
A final assignment of the course- Machine Learning for Python on Coursera. This notebook gives a good example of using ML framework to realize classification tasks.
☆18Updated 6 years ago
Alternatives and similar repositories for Classification-Algorithms-with-Python
Users that are interested in Classification-Algorithms-with-Python are comparing it to the libraries listed below
Sorting:
- Laptop Prices Predictor is an end-to-end data science project that accurately predicts laptop prices using machine learning algorithms. T…☆14Updated last year
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆79Updated 5 years ago
- AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-AlgorithmsInternship project☆56Updated 4 years ago
- Different clustering approaches applied on different problemsets☆40Updated 5 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded …☆29Updated 3 years ago
- Data Visualizations is emerging as one of the most essential skills in almost all of the IT and Non IT Background Sectors and Jobs. Using…☆65Updated 5 years ago
- Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook☆107Updated 3 years ago
- Insurance fraud claims analysis project☆54Updated 2 years ago
- The goal of this project is to build an unsupervised machine learning model that predicts customers' next purchase date.☆20Updated 4 years ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆112Updated 7 years ago
- Exploratory Data Analysis with Pandas and Python 3.x, published by Packt☆44Updated 2 years ago
- Association rule mining is a technique to identify underlying relations between different items.☆71Updated 6 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆137Updated 7 years ago
- Small example on how you can detect multicollinearity☆13Updated 4 years ago
- Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …☆35Updated 6 years ago
- Book Projects☆25Updated 4 years ago
- A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in th…☆34Updated 5 years ago
- Building simple ML apps with Streamlit☆24Updated 4 years ago
- A collection of application which are built on open source technologies/frameworks like R Shiny, Plotly-Dash, Flask and Streamlit☆54Updated 6 months ago
- Solved end-to-end machine learning projects☆37Updated 2 years ago
- Address imbalance classes in machine learning projects.☆35Updated 4 years ago
- n this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the fi…☆21Updated 5 years ago
- Detecting fraudulent transactions on the synthetic banksim dataset with machine learning☆22Updated 2 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆26Updated 6 years ago
- ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xg…☆290Updated 5 years ago
- Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of…☆187Updated 2 years ago
- A Machine Learning project for retail data analytics as part of the Machine Learning Engineering Nanodegree Capstone Project from Udacity☆12Updated 5 years ago
- ☆17Updated 5 years ago
- This project is designed as Automated Application for performing Exploratory Data Analysis for given Dataset to generate insights using P…☆29Updated 2 years ago