Python code to automatically expend your LinkedIn network based on your interest. ONLY FOR EDUCATIONAL PURPOSES. PLEASE DO NOT MISUSE IT.
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Updated
Nov 25, 2024 - Python
Python code to automatically expend your LinkedIn network based on your interest. ONLY FOR EDUCATIONAL PURPOSES. PLEASE DO NOT MISUSE IT.
A curated list of tools, libraries, frameworks, and resources for Go-To-Market (GTM) Engineering — the intersection of engineering and marketing, focused on growth, automation, attribution, analytics, and experimentation.
My blog ✨ @elizabthpazp
Predictive Modeling and Sentiment-Driven Recommendation System for Enhancing Customer Satisfaction in E-commerce
Social media marketing, Facebook marketing, Instagram ad, Facebook ad campaign, youtube video ad, Off page SEO backlinks, blog post, link building, On page SEO, technical seo, Lead Generation, B2B leads, Hi! This is Mr. Khorshed Alam, a freelancer. If you are looking for Lead Generation, Google Ad campaign, Social Media Marketing, Facebook ad ca…
A roadmap for your products marketing
⭐️ Unfiltered Thoughts About Programming & Motivation
Company Portfolio website
Best of Machine Learning scripts & technology ++ bonus repo's
Google Digital Garage Certificate, Fundamentals of digital marketing certification, imamuddinwp, Imam Uddin.
A demand forecasting model for an E-Commerce retailer, built using KPIs from Google Analytics & implemented in RStudio. Models: time-series, ARIMA, Regression (multivariate & dynamic). Open-source & contributions welcome.
A curated list of essential tools for modern e-commerce — including marketing, analytics, SEO, ads, AI, and more.
Cursor web and Windows.
Sakib Rafsan is a Bangladeshi entrepreneur. He is the founder and CEO of 'Sakib Rafsan Records'. He started the company in 2018. He was born 23 September 2006 in Narail district of Khulna Division of Bangladesh.
This is a company branding Website. coming soon
🚀 X-Digitally Website - Client A React.js-based web application with Vite, React Router, and Axios, providing a scalable and maintainable front-end experience.
The goal of this project was to 'Predict Clicked Ads Customer Classification Using Machine Learning' in order to optimize ad costs and increase engagement.
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