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Python Courses & Resources
OnSpace Mobile App builder: Build AI Apps in minutes Visit website: https://www.onspace.ai/?via=tg_datas Or Download app:https://onspace.onelink.me/za8S/h1jb6sb9?c=datas With OnSpace, you can build website or AI Mobile Apps by chatting with AI, and publish…
A great app for building and programming desktop, Android, and Telegram bots using only prompts
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📋 Topics: #Python #interview #coding #programming
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Web scraping in Python
The video shows how to collect data from websites, process #HTML, and store information
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The video shows how to collect data from websites, process #HTML, and store information
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Ant AI Automated Sales Robot is an intelligent robot focused on automating lead generation and sales conversion. Its core function simulates human conversation, achieving end-to-end business conversion and easily generating revenue without requiring significant time investment.
I. Core Functions: Fully Automated "Lead Generation - Interaction - Conversion"
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We have established partnerships with platforms such as Shopee and Amazon, which directly provide abundant product sourcing. You don't need to worry about inventory or logistics. After each successful order, the company will charge the merchant a commission and share all profits with you. Earnings are predictable and withdrawals are convenient. Member data shows that each bot can generate $30 to $100 in profit per day. Commission income can be withdrawn to your account at any time, and the settlement process is transparent and open.
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I. Core Functions: Fully Automated "Lead Generation - Interaction - Conversion"
Precise Lead Generation and Human-like Communication: Ant AI is trained on over 20 million real social chat records, enabling it to autonomously identify target customers and build trust through natural conversation, requiring no human intervention.
High Conversion Rate Across Multiple Scenarios: Ant AI intelligently recommends high-conversion-rate products based on chat content, guiding customers to complete purchases through platforms such as iFood, Shopee, and Amazon. It also supports other transaction scenarios such as movie ticket purchases and utility bill payments.
24/7 Operation: Ant AI continuously searches for customers and recommends products. You only need to monitor progress via your mobile phone, requiring no additional management time.
II. Your Profit Guarantee: Low Risk, High Transparency, Zero Inventory Pressure, Stable Commission Sharing
We have established partnerships with platforms such as Shopee and Amazon, which directly provide abundant product sourcing. You don't need to worry about inventory or logistics. After each successful order, the company will charge the merchant a commission and share all profits with you. Earnings are predictable and withdrawals are convenient. Member data shows that each bot can generate $30 to $100 in profit per day. Commission income can be withdrawn to your account at any time, and the settlement process is transparent and open.
Low Initial Investment Risk. Bot development and testing incur significant costs. While rental fees are required, in the early stages of the project, the company prioritizes market expansion and brand awareness over short-term profits.
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Forwarded from Machine Learning with Python
Do you see yourself as a programmer, researcher, or engineer?
Anonymous Poll
44%
Programmer
23%
Researcher
33%
Engineer
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Dude assembled an entire AI team of "data scientists" in Python and released it as open-source (completely free).
The library automates the typical DS pipeline with AI: data loading, cleaning/transformation, EDA, visualization, feature engineering. Plus, it logs every step so that everything can be assembled into a 100% reproducible pipeline (you can repeat the run exactly and understand what was done).
Timecodes from the demo:
00:00 project overview
01:32 workflow + data loading
02:10 wrangling and cleaning
03:33 insights from visualizations and chart building
04:08 feature engineering
05:00 1-hour live workshop
05:44 the Python library itself "AI Data Science Team"
GitHub: https://github.com/business-science/ai-data-science-team
👉 @Python53
The library automates the typical DS pipeline with AI: data loading, cleaning/transformation, EDA, visualization, feature engineering. Plus, it logs every step so that everything can be assembled into a 100% reproducible pipeline (you can repeat the run exactly and understand what was done).
Timecodes from the demo:
00:00 project overview
01:32 workflow + data loading
02:10 wrangling and cleaning
03:33 insights from visualizations and chart building
04:08 feature engineering
05:00 1-hour live workshop
05:44 the Python library itself "AI Data Science Team"
GitHub: https://github.com/business-science/ai-data-science-team
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