#Machine Learning with Python Tutorial

[aarvyedutech]

TOP 10 courses that have generally been in high demand in 2024-

Data Science and Machine Learning: Skills in data analysis, machine learning, and artificial intelligence are highly sought after in various industries.

Cybersecurity: With the increasing frequency of cyber threats, cybersecurity skills are crucial to protect sensitive information.

Cloud Computing: As businesses transition to cloud-based solutions, professionals with expertise in cloud computing, like AWS or Azure, are in high demand.

Digital Marketing: In the age of online businesses, digital marketing skills, including SEO, social media marketing, and content marketing, are highly valued.

Programming and Software Development: Proficiency in programming languages and software development skills continue to be in high demand across industries.

Healthcare and Nursing: Courses related to healthcare and nursing, especially those addressing specific needs like telemedicine, have seen increased demand.

Project Management: Project management skills are crucial in various sectors, and certifications like PMP (Project Management Professional) are highly valued.

Artificial Intelligence (AI) and Robotics: AI and robotics courses are sought after as businesses explore automation and intelligent technologies.

Blockchain Technology: With applications beyond cryptocurrencies, blockchain technology courses are gaining popularity in various sectors, including finance and supply chain.

Environmental Science and Sustainability: Courses focusing on environmental sustainability and green technologies are increasingly relevant in addressing global challenges.

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[scriptingthewhy]

Navigating the Nervous Waters of Coding

Daily writing promptWhat makes you nervous?View all responses AI-generated image. “This code is going well…a little too well.” The Code Creep: Why Every Line Can Feel Like a Tightrope Walk What makes me nervous? You might think it’s a looming deadline or a particularly gnarly algorithm. And while those definitely get the heart racing, the real source of my coding jitters? It’s the act of…

[hackeocafe]

Build 5 Real World Python Projects With 3 Senior Developers

These 5 real-world Python projects (from 3 of our TOP courses) are guaranteed to take your skills to the next level!

Instead of just learning syntax, you’ll apply Python in real-world scenarios—from automation to data analysis and even security-focused projects. These are the kinds of projects that help you stand out to employers and solidify your skills beyond the basics.

You’re not just learning from any instructor—you’ll be guided by 3 industry experts: Andrei Neagoie, Travis Cuzick, and Diogo Resende, all senior developers who have helped 1,000s of students land jobs in tech.

[engenhariadesoftware]

Explorando o TensorFlow: O Framework que Revolucionou o Machine Learning

Introdução ao TensorFlow O avanço da inteligência artificial (IA) e do aprendizado de máquina (Machine Learning) revolucionou diversas indústrias, como saúde, finanças, transporte e entretenimento. Nesse cenário, o TensorFlow, um framework de código aberto desenvolvido pelo Google, emerge como uma das ferramentas mais poderosas e amplamente utilizadas por desenvolvedores e pesquisadores para…

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Beginner's Guide to Data Science with Python: A Step-by-Step Tutorial

Beginner's Guide to Data Science with Python: A Step-by-Step Tutorial

Introduction Data Science is a rapidly growing field that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Python, with its powerful libraries and ease of use, has become the go-to language for data science. This guide aims to provide a step-by-step tutorial for beginners to get started with data science using…

[healthylifewithus]

Complete Excel, AI and Data Science mega bundle.

Unlock Your Full Potential with Our 100-Hour Masterclass: The Ultimate Guide to Excel, Python, and AI.

Why Choose This Course? In today’s competitive job market, mastering a range of technical skills is more important than ever. Our 100-hour comprehensive course is designed to equip you with in-demand capabilities in Excel, Python, and Artificial Intelligence (AI), providing you with the toolkit you need to excel in the digital age.

To read more click here &lt;<

Become an Excel Pro Delve deep into the intricacies of Excel functions, formulae, and data visualization techniques. Whether you’re dealing with basic tasks or complex financial models, this course will make you an Excel wizard capable of tackling any challenge.

Automate Your Workflow with Python Scripting in Python doesn’t just mean writing code; it means reclaiming your time. Automate everyday tasks, interact with software applications, and boost your productivity exponentially.

If you want to get full course click here &lt;<

Turn Ideas into Apps Discover the potential of Amazon Honeycode to create custom apps tailored to your needs. Whether it’s for data management, content tracking, or inventory — transform your creative concepts into practical solutions.

Be Your Own Financial Analyst Unlock the financial functionalities of Excel to manage and analyze business data. Create Profit and Loss statements, balance sheets, and conduct forecasting with ease, equipping you to make data-driven decisions.

Embark on an AI Journey Step into the future with AI and machine learning. Learn to build advanced models, understand neural networks, and employ TensorFlow. Turn big data into actionable insights and predictive models.

Master Stock Prediction Gain an edge in the market by leveraging machine learning for stock prediction. Learn to spot trends, uncover hidden patterns, and make smarter investment decisions.

Who Is This Course For? Whether you’re a complete beginner or a seasoned professional looking to upskill, this course offers a broad and deep understanding of Excel, Python, and AI, preparing you for an ever-changing work environment.

Invest in Your Future This isn’t just a course; it’s a game-changer for your career. Enroll now and set yourself on a path to technological mastery and unparalleled career growth.

Don’t Wait, Transform Your Career Today! Click here to get full course &lt;<

[animacion-marina]

LEARN ABOUT IMAGE PROCESSING

Image fusion is a process where two or more images are combined to create a single, more informative or visually enhanced image. This technique is used in various fields like photography, remote sensing, medical imaging, and computer vision.

GET PARTICLE IMAGE PROCESSING VIDEO TUTORIAL 🦄

The goal of image fusion is to enhance the overall quality of the final image by combining information from multiple sources while retaining the most relevant details.

Feature-Level Fusion: Instead of combining pixel values, this method focuses on merging the features extracted from images. It's often used in computer vision for object recognition and tracking.

Libraries and Frameworks for Machine Learning Image Processing:

OpenCV-Python is a library of Python bindings designed to solve computer vision problems.

Huge library of image processing algorithms

Open Source + Great Community

Works on both images and videos

Java API Extension

Works with GPUs

Cross-Platform

[womaneng]

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A post shared by Zeynep Küçük Woman Engineer (@woman.engineer)

Learning to code and becoming a data scientist without a background in computer science or mathematics is absolutely possible, but it will require dedication, time, and a structured approach. ✨👌🏻 🖐🏻Here’s a step-by-step guide to help you get started:

1. Start with the Basics:

- Begin by learning the fundamentals of programming. Choose a beginner-friendly programming language like Python, which is widely used in data science.

- Online platforms like Codecademy, Coursera, and Khan Academy offer interactive courses for beginners.

2. Learn Mathematics and Statistics:

- While you don’t need to be a mathematician, a solid understanding of key concepts like algebra, calculus, and statistics is crucial for data science.

- Platforms like Khan Academy and MIT OpenCourseWare provide free resources for learning math.

3. Online Courses and Tutorials:

- Enroll in online data science courses on platforms like Coursera, edX, Udacity, and DataCamp. Look for beginner-level courses that cover data analysis, visualization, and machine learning.

4. Structured Learning Paths:

- Follow structured learning paths offered by online platforms. These paths guide you through various topics in a logical sequence.

5. Practice with Real Data:

- Work on hands-on projects using real-world data. Websites like Kaggle offer datasets and competitions for practicing data analysis and machine learning.

6. Coding Exercises:

- Practice coding regularly to build your skills. Sites like LeetCode and HackerRank offer coding challenges that can help improve your programming proficiency.

7. Learn Data Manipulation and Analysis Libraries:

- Familiarize yourself with Python libraries like NumPy, pandas, and Matplotlib for data manipulation, analysis, and visualization.

For more follow me on instagram.

[tearsinthemist]

Want to learn something new

Want to learn something new in 2022??

Absolute beginner adult ballet series (fabulous beginning teacher)

40 piano lessons for beginners (some of the best explanations for piano I’ve ever seen)

Excellent basic crochet video series

Basic knitting (probably the best how to knit video out there)

Pre-Free Figure Skate Levels A-D guides and practice activities (each video builds up with exercises to the actual moves!)

How to draw character faces video (very funny, surprisingly instructive?)

Another drawing character faces video

Literally my favorite art pose hack

Tutorial of how to make a whole ass Stardew Valley esque farming game in Gamemaker Studios 2??

Introduction to flying small aircrafts

French/Dutch/Fishtail braiding

Playing the guitar for beginners (well paced and excellent instructor)

Playing the violin for beginners (really good practical tips mixed in)

Color theory in digital art (not of the children’s hospital variety)

Retake classes you hated but now there’s zero stakes:

Calculus 1 (full semester class)

Learn basic statistics (free textbook)

Introduction to college physics (free textbook)

Introduction to accounting (free textbook)

Learn a language:

Ancient Greek

Latin

Spanish

German

Japanese (grammar guide) (for dummies)

French

Russian (pretty good cyrillic guide!)

Jan 2, 2023

Want to learn something new in 2023??

Cooking with flavor bootcamp (used what I learned in this a LOT this year)

Beekeeping 101

Learn Interior Design from the British Academy of Interior Design (free to audit course - just choose the free option when you register)

Video on learning to read music that actually helped me??

How to use and sew with a sewing machine

How to ride a bike (listen. some of us never learned, and that's okay.)

How to cornrow-braid hair (I have it on good authority that this video is a godsend for doing your baby niece's black hair)

Making mead at home (I actually did this last summer and it was SO good)

How to garden

Basics of snowboarding (proceed with caution)

How to draw for people who (think they) suck at art (I know this website looks like a 2003 monstrosity, but the tutorials are excellent)

Pixel art for beginners so you can make the next great indie game

Go (back) to school

Introduction to Astronomy (high school course - free textbook w/ practice problems)

Principals of Economics (high school course - free textbook w/ practice problems)

Introduction to philosophy (free college course)

Computer science basics (full-semester Harvard course free online)

Learn a language

Japanese for Dummies (link fix from 2022)

Ukrainian

Portuguese (Brazil)

American Sign Language (as somebody who works with Deaf people professionally, I also strongly advise you to read up on Deaf/HoH culture and history!)

Chinese (Mandarin, Simplified)

Quenya (LOTR fantasy elf language)

Dec 26, 2023

Want to learn something new in 2024??

Beginner-oriented video on how to sail

This guy has so many videos on baking different types of bread. SO very many.

Coding in Python - one of the most flexible and adaptable high-level programming languages out there - explained through projects making video games

Learn to swim! (for adult learners. I don’t care if you live in Kansas or Mali or wherever. LEARN TO SWIM.)

Learn how quantum mechanics works. Then read some more about it

[Learn about quantum mechanics again, but in a more advanced engineering/mathematics class. Then read more about the math and physics of it]

Poetry Handbook, by Mary Oliver

Something I learned this year: how to sew a quilt (Here’s a very easy beginning pattern that looks amazing and can be done with pre-cut fabric!)

How to hit the ball in softball

Tutorial video on what is under the hood of most (gas) cars + weird engine sounds and what they mean

Full beginner mechanics technical training, if you want to go more in depth

Playlist on how car engine physics work if you want to go ultra in depth

Lecture series on architecture design through study of buildings

How (American income) taxes & tax law work (choose “audit course” at checkout for free class)

Pickleball for beginners (so you can finally join your neighbor/friend/distant cousin who is always insisting you join their team)

+ Para-Pickleball for beginners (for mobility aid users!)

School is so much more fun when there’s no tests:

American Law - Contracts

Shakespeare’s Life and Plays

Fairy Tales: Meanings, Messages, and Morals

Modern Poetry

World History [Part 1, Part 2]

Learn a language:

Arabic + Resource Guide compiled from Reddit (includes info on different dialects)

Chinese (Cantonese) (audio)

Urdu (frequently recommended course on Reddit) + Resource Guide

Yucatec Maya

[contentsmith]

What’s the Big Deal About Python?

If you’ve been around the tech world even for a minute, you’ve probably heard people raving about Python. No, not the snake, we’re talking about the programming language. But what’s so special about it? Why is everyone from beginner coders to AI researchers using Python like it’s their best friend? Let’s break it down in simple words.

Easy to Learn, Easy to Use

First things first, Python is super easy to learn. The code looks almost like regular English, which means you don’t have to memorize weird symbols or endless rules. If you’re just starting your programming journey, Python won’t scare you away.

For example, printing a sentence in Python is as simple as:

That’s it. No extra setup, no confusing syntax. It just works.

Used Everywhere

Python isn’t just for small scripts or learning projects. It’s everywhere, web development, data science, automation, artificial intelligence, game development, even robotics.

Big companies like Google, Netflix, and Instagram use Python behind the scenes to make their products work better.

Huge Library Support

One of the best things about Python is its rich library ecosystem. Libraries are like pre-written tools that help you do complex stuff without writing all the code yourself. Want to analyze data? Use Pandas. Want to build a web app? Try Django or Flask. Want to build a chatbot or train a machine learning model? There’s TensorFlow and PyTorch for that.

Great Community

Python has a massive community. That means if you ever get stuck, there’s a good chance someone has already solved your problem and posted about it online. You’ll find tons of tutorials, forums, and helpful folks willing to guide you.

Not the Fastest, But Fast Enough

Python isn’t the fastest language out there — it’s not meant for super high-speed system-level programming. But for most tasks, it’s more than fast enough. And if you really need to speed things up, there are ways to connect Python with faster languages like C or C++.

So, Should You Learn Python?

Absolutely. Whether you’re a student, a hobbyist, or someone switching careers, Python is a great place to start. It’s beginner friendly, powerful, and widely used. You’ll be surprised how much you can build with just a few lines of Python code.

[reionized]

are there any books/yt tutorials that helped you learn how to do data processing w python? I really want to learn this summer

FOR SURE!!!! THIS python for astronomy course by freecodecamp is excellent and i have been looking for something like it for AGES!!! https://www.youtube.com/watch?v=H9KefzbryEw&ab_channel=freeCodeCamp.org the same people behind the bootcamp also have a bunch of machine learning projects relevant to space that i am hoping to go through, you can find them here: https://www.youtube.com/@Spartificial/playlists if any of you studyblr folks know any other resources for data processing for space, or just data processing in general, please add on <33

[hackeocafe]

Machine Learning Foundations Course - Python, Deep Learning, Linear Regression, MLOps

Learn the essentials of AI with this 8-hour Machine Learning Foundations course, one of the most comprehensive open resources we've published online. Starting from the basics of Python, this course swiftly advances through deep learning and linear regression models to MLOps, seamlessly integrating theory with real-world application. We cap off your learning experience with two exclusive interviews featuring industry experts who discuss launching a successful career in tech with zero experience and the keys to starting and growing your own startup. This course is your gateway to mastering machine learning and propelling your career forward.

[himanitech]

Wielding Big Data Using PySpark

Introduction to PySpark

PySpark is the Python API for Apache Spark, a distributed computing framework designed to process large-scale data efficiently. It enables parallel data processing across multiple nodes, making it a powerful tool for handling massive datasets.

Why Use PySpark for Big Data?

Scalability: Works across clusters to process petabytes of data.

Speed: Uses in-memory computation to enhance performance.

Flexibility: Supports various data formats and integrates with other big data tools.

Ease of Use: Provides SQL-like querying and DataFrame operations for intuitive data handling.

Setting Up PySpark

To use PySpark, you need to install it and set up a Spark session. Once initialized, Spark allows users to read, process, and analyze large datasets.

Processing Data with PySpark

PySpark can handle different types of data sources such as CSV, JSON, Parquet, and databases. Once data is loaded, users can explore it by checking the schema, summary statistics, and unique values.

Common Data Processing Tasks

Viewing and summarizing datasets.

Handling missing values by dropping or replacing them.

Removing duplicate records.

Filtering, grouping, and sorting data for meaningful insights.

Transforming Data with PySpark

Data can be transformed using SQL-like queries or DataFrame operations. Users can:

Select specific columns for analysis.

Apply conditions to filter out unwanted records.

Group data to find patterns and trends.

Add new calculated columns based on existing data.

Optimizing Performance in PySpark

When working with big data, optimizing performance is crucial. Some strategies include:

Partitioning: Distributing data across multiple partitions for parallel processing.

Caching: Storing intermediate results in memory to speed up repeated computations.

Broadcast Joins: Optimizing joins by broadcasting smaller datasets to all nodes.

Machine Learning with PySpark

PySpark includes MLlib, a machine learning library for big data. It allows users to prepare data, apply machine learning models, and generate predictions. This is useful for tasks such as regression, classification, clustering, and recommendation systems.

Running PySpark on a Cluster

PySpark can run on a single machine or be deployed on a cluster using a distributed computing system like Hadoop YARN. This enables large-scale data processing with improved efficiency.

Conclusion

PySpark provides a powerful platform for handling big data efficiently. With its distributed computing capabilities, it allows users to clean, transform, and analyze large datasets while optimizing performance for scalability.

For Free Tutorials for Programming Languages Visit-https://www.tpointtech.com/

[sysadminxpert]

Run DeepSeek Web UI on Ubuntu 24.04 | Ollama Model Setup Guide

Want a user-friendly experience with DeepSeek models? Learn how to run DeepSeek with the Ollama Web UI on your local Ubuntu 24.04 machine. This tutorial covers everything from setting up a Python virtual environment to troubleshooting. Get started here: https://www.youtube.com/watch?v=CTarPFWzw98