286 Open source projects that are alternatives of or similar to target-and-market

Website analytics, JavaScript error tracking + analytics, tag manager, data ingest endpoint creation (tracking pixels). GDPR + CCPA compliant.

A C++ implementation of simple k-means clustering algorithm.

Campaign Manager 360 and Display & Video 360 Reports to BigQuery connector

https://events.kaspersky.com/hackathon/

Unsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering

Automate common Facebook activities such as posting to groups and pages walls. Effortlessly post to multiple groups or pages.

Export a whole BigQuery table to Google Datastore with Apache Beam/Google Dataflow

Machine Learning Course @ Santa Clara University

Multi-Touch Attribution

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

A SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros.

Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market

bqloader is a simple ETL framework to load data from Cloud Storage into BigQuery.

Reverse Caller Id using TrueCaller

EtlFlow is an ecosystem of functional libraries in Scala based on ZIO for writing various different tasks, jobs on GCP and AWS.

The simplest tool to manage views of BigQuery.

Django app for keeping models and google sheets synced

A landing page made with tailwindcss and the new Gradient feature.

Plugin extends default email template capabilities with TWIG block so you can use advanced scripting techniques like conditions, loops etc

Time tracking web app built as a replacement for old school timesheets.

Logically replicate data out of Postgres into sinks (files, Google BigQuery, etc)

Bayesian Optimization and Grid Search for xgboost/lightgbm

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

A checklist of tactics for marketing your startup.

Gateway server that provides an OData interface to BigQuery and Elasticsearch

This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

Use Airflow to move data from multiple MySQL databases to BigQuery

Serverless Inferencing on Kubernetes

The startup founder toolbelt. A forever-updating crowdsourced collection.

Trading Algorithm by XGBoost

[Done] Master version: developed the stacked regression (score 0.11, top 5%) based on (xgboost, sklearn). Branch v1.0: developed linear regression (score 0.45) based on Tensorflow

Search engine sitemaps.xml for EPiServer CMS

Brand Guideline for the Ballerini Community

Machine Learning Operator & Controller for Kubernetes

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

☁️ nodejs kafka connect connector for Google BigQuery

Kaggle getting started competition examples

Attempt to predict future stock prices based on Google Trends data.

A repository for some of the code I used in kaggle data science & machine learning tasks.

An upgraded and improved version of the Iris automatic GCP-labeling project

Secure collaborative training and inference for XGBoost.

The list of public blockchain datasets in BigQuery

Astro allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

🍡 文本聚类 k-means算法及实战

Implementing Genetic Algorithm on K-Means and compare with K-Means++

Google Cloud Platform Machine Learning Samples

A collection of Google Cloud Platform (GCP) plugins

Tokenize Japanese text on BigQuery with Kuromoji in Apache Beam/Google Dataflow at scale

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

An open source book on Python tailed for communication students with zero background

Scalable machine 🤖 learning for time series forecasting.

🎨 Apply color quantization to images using k-means clustering.

Implemented ML algorithms in hyperbolic geometry (MDS, K-Means, Support vector machines, etc.)

Nimrod is a lead generation bot that helps you find the emails of people you want to reach out to.

Questions and support for Mailcoach

2017第一届腾讯社交广告高校算法大赛Rank28_code