Simkl
Trakt.tv
IMDb
Letterboxd
Reelgood
Must App
TMDb Movies & TV Shows
TV Time
Scikit-learn
Pandas
OpenCV
NumPy
Dataiku
WEKA
htm.java
Exploratory
All about the TV Shows, Anime and Movies: trailers, photos, screenshots, screencaps, wallpapers, comments, TV ratings. Free open REST API for developers.
Simkl Scikit-learnTo Be honest, after few weeks of using SIMKL. I discovered soo many amazing features, it literally had features from 5-15 different websites all packed together in one and amazing browser extension and mobile app interface as well!
Simkl might be a bit more popular than Scikit-learn. We know about 46 links to it since March 2021 and only 31 links to Scikit-learn. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
We are looking for Moderator ( In Exchange we will provide VIP membership to https://simkl.com/ (DM me Directly). Source: about 2 years ago
Yes, we got. Move to another track service. I'm trying https://simkl.com/ for now. TvTime is kinda joke now. Not working for a week, support doesn't respond. Source: about 2 years ago
I kinda gave up on TVTime a few days ago and went to https://simkl.com. Kinda like it so far. You can import your TVTime stuff (you have to send an email to TVTime but they responded within an hour so don't let that put you down). It's way more up to date and responsive! Source: about 2 years ago
First create your account on MyAnimeList or SIMKL to keep track of your list. Source: about 2 years ago
We are looking for Moderator ( In Exchange we will provide VIP membership to https://simkl.com/ (DM me Directly). Source: about 2 years ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago
Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 months ago
How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 11 months ago
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / about 1 year ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / almost 2 years ago
Trakt.tv - Automatically track TV shows & movies you're watching.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
IMDb - Internet Movie Database
OpenCV - OpenCV is the world's biggest computer vision library
Letterboxd - Letterboxd is a social site for sharing your taste in film, now in public beta.
NumPy - NumPy is the fundamental package for scientific computing with Python