ThibaudLamothe / scraping-corner
Scraping projects - Mostly using Scrapy, and a bit of selenium 🤖
☆8Updated 3 years ago
Related projects: ⓘ
- Predicting customer churn using scikit-learn☆9Updated 6 years ago
- Problem Statement The objective of this task is to detect hate speech in tweets. For the sake of simplicity, we say a tweet contains hate…☆12Updated 5 years ago
- It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged fo…☆11Updated 3 years ago
- R, Python and Tableau codes for BI☆9Updated 3 years ago
- Building a end-to-end lead scoring machine learning example with Jupyter, Sagemaker, MLflow, and Booklet.ai.☆21Updated last year
- An example CI/CD pipeline using GitHub Actions for doing continuous deployment of AWS Glue jobs built on PySpark and Jupyter Notebooks.☆12Updated 3 years ago
- Create Interactive Dashboards With Streamlit in Python☆15Updated 4 years ago
- OAM toolbox by the community to the community☆10Updated 2 years ago
- Digged into negative reviews, conducted NLP techniques such as sentiment analysis, text processing, n-gram modeling and then created a re…☆12Updated 6 years ago
- classify crime into different categories using PySpark☆21Updated 5 years ago
- Prediction of Premier League results using Machine Learning☆13Updated 2 months ago
- ETL (Extract, Transform and Load) with the Spark Python API (PySpark) and Hadoop Distributed File System (HDFS)☆13Updated 5 years ago
- Singapore Condo Rental Prices - From Data Acquisition to Prediction☆13Updated 3 years ago
- Spark Application for analysis of Apache Access logs and detect anamolies! Along with Medium Article.☆20Updated 5 years ago
- Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we a…☆48Updated 3 years ago
- Build and run Spark Structured Streaming pipelines in Hadoop - project using PySpark.☆12Updated 5 years ago
- Tools for extracting metadata from Tableau Desktop workbook files.☆11Updated 2 years ago
- Course included such topics, as Data Preprocessing, Exploratory Data Analysis (EDA), Statistical Data Analysis (SDA), Data Collection an…☆11Updated 2 years ago
- Predictive Lead Scoring does all the hard work for you by leveraging Machine Learning to provide your sales and marketing team with in-de…☆91Updated 3 months ago
- A sample node.js project for beginners.☆11Updated last month
- Code used to scrape medium☆17Updated 3 years ago
- Awesome Business Intelligence☆27Updated 6 months ago
- pyspark dataframe made easy☆15Updated 2 years ago
- Code Snippets & DataSets for Business Analytics & Data Mining/ Machine Learning Algorithms☆16Updated 6 years ago
- Improving the development of Spark applications deployed as jobs on AWS services like Glue and EMR☆12Updated last year
- Personal project where I perform some analytics (including Sentiment Analysis) over a Twitter Stream using Big Data Technologies of the H…☆20Updated last year
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆45Updated 6 years ago
- SQL☆13Updated 7 years ago
- ☆32Updated 5 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆40Updated 3 years ago