Yacobus Mardagiono

@edgebuildings' Auditor | Blockchain & Greenbuilding | @yodayahb's team | ig: deorcregnboga | VP of Federasi Airsoft Indonesia | Membership Officer @iabhi_id

[Yacobus Mardagiono @cobusmar]

Playing with #djimini2 @DJIGlobal. The 4K was amazing.
#dronephotography

[Md Riyazuddin @riyazmd774]

The best websites to read and/or download free books.

🔖Save them or you will regret it.

[Bishal Nandi @LearnWithBishal]

I'm obsessed with collecting websites that pay for Remote work

$70/hour without Interviews

The 12 best websites I've collected:

(Number 9 Is Easiest)🧵

[Abraham Okah(info hub) @AbrahamOkah2]

A Goldmine!

Discover all of these Courses for FREE

- Product management
- Project management
- Business analytics
- Data visualization
- Microsoft excel
- Data analytics
- Big data
- Scrum
- UI/UX
- Agile
- SQL

Link: https://t.co/heFBW995QM

RT Please, It is useful!

[Bishal Nandi @LearnWithBishal]

Over the past 3 years, I've watched over 10,000 videos
on Youtube.

And the truth is, 94% of them were a complete waste of time.

But these 8 channels are worth more than a 4-year degree: 🧵

[Tulsi Soni @shedntcare_]

The University of Oxford is offering free online courses.

No need to pay.

Here are 12 invaluable courses you won't want to miss in 2024 & earn $$$ :

[Goshawk Trades @GoshawkTrades]

I'm 22.

I've been obsessed with trading for the past 5 years.

I spent collectively 5,000 hours studying the best books, the greatest traders of our time, and having 1 on 1 calls with them.

Here's what I found on how to become a top trader:

[Arsalan @AIwithArsalan]

I Don't Understand Why People Chase After 9-to-5 Grind!

Here Are 7 Website That Pay You Daily

No Skill or Experience Required:

[Muzzammil @DevMuzzammil]

60 AI Tools to start your $5,000/m profitable online business in 2024:

1. Website

→ Dora
→ 10Web
→ Framer
→ Unicorn
→ Hostinger

2. Ideas

→ Claude
→ ChatGPT
→ Bing Chat
→ Perplexity
→ HuggingChat

3. Research

→ Sourcely .net
→ Studentai .tools

4. Writing

→ Yomu
→ Jasper
→ Longshot
→ Textblaze
→ Copymate

5. Meeting

→ Tldv
→ Krisp
→ Otter
→ Fathom
→ Airgram

6. Chatbot

→ SiteGPT
→ Chatbase
→ ChatSimple
→ CustomGPT
→ Mutual .info

7. Automation

→ Make
→ Levity
→ Zapier
→ Xembly
→ Bardeen

8. UI/UX

→ Uizard
→ UiMagic
→ InstantAI
→ Galileo AI
→ Photoshop

9. Image

→ Leap AI
→ Nex .art
→ Midjourney
→ Bing create
→ Stable Diffusion

10. Video

→ Eightify
→ InVideo
→ HeyGen
→ Runway
→ Morphstudio .xyz

11. Design

→ Canva
→ Flair AI
→ Clipdrop
→ Booth AI
→ Autodraw

12. Marketing

→ Pencil
→ Ai-Ads
→ AdCopy
→ Simplified
→ AdCreative

13. Twitter

→ Typefully
→ Tweetlify
→ Tribescaler

Note: The amount depends on the strategies you implement and the passion you've. If you do it correctly and with more passion, you can even achieve way more than this. Happy Journey :)

Follow @DevMuzzammil for more.

[Levi @levikul09]

You must understand Histograms before learning about distributions.

Let me explain:

[Poonam Soni @CodeByPoonam]

MIT University released free online courses.

No textbooks or fees required.

Here are 10 courses you don't want to miss in 2024

[Aman Kharwal @amankk_9]

Here's a list of 75 #DataAnalytics Projects based on real-time business problems solved and explained using #Python. Includes projects like:

Food Delivery Cost & Profitability Analysis
Delhi Metro Network Analysis
Quantitative Analysis of Stock Market
Analytics Dashboard
Cohort Analysis
Stock Market Comparison Analysis
Air Quality Index Analysis
Fitness Watch Data Analysis
& many more...

Find this list of 75 Data Analysis Projects here: https://t.co/sxI8APaIWq

[Matt Dancho (Business Science) @mdancho84]

9 machine learning algorithms that every data scientist should know. Here's 3 months of research in 3 minutes. Let's go:

1. Linear Regression: Used for predicting a continuous value. It's simple yet effective for various problems.

2. Logistic Regression: Despite its name, it's used for classification tasks, particularly binary classification. And I also use class probabilities (class proba), which is the probability of the class label.

3. Decision Trees: Used for both classification and regression tasks. They split data into branches to form a tree structure.

4. Gradient Boosting Machines (GBM): An ensemble technique that builds predictive models in a stage-wise fashion, often yielding high-quality predictions. I use these frequently for high accuracy and performance.

5. Random Forests: An ensemble method that uses a collection of decision trees to improve prediction accuracy and avoid overfitting.

6. Support Vector Machines (SVM): Primarily used for classification tasks, SVMs are effective in high-dimensional spaces.

7. K-Nearest Neighbors (KNN): A simple, instance-based learning algorithm used for classification and regression.

8. Naive Bayes: A group of simple, probabilistic classifiers based on applying Bayes' theorem with strong independence assumptions.

9. Neural Networks: Versatile and powerful, used for a wide range of tasks including classification, regression, and unsupervised learning. Deep learning models, a subset of neural networks, are particularly notable for their performance in complex tasks like image and speech recognition.

===

There’s a lot more to learning Data Science for Business. I’d like to help.

I put together a free on-demand workshop that covers the 10 skills that helped me make the transition to Data Scientist: https://t.co/LR39RJ5XKB

And if you'd like to speed it up, I have a live workshop where I'll share how to use ChatGPT for Data Science: https://t.co/EaMpKrJiqX

If you like this post, please reshare ♻️ it so others can get value.

[Saheed Kolawole @temabef]

If you are preparing to take IELTS, google the following, they will help you in acing the test

IELTS Buddy
IELTS Simon
IELTS LIZ
IELTS Mentor
IELTS Advantage
Road to IELTS
E2 IELTS

I also included 8GB worth of FREE IELTS Materials for your study.

OPEN!

[Poonam Soni @CodeByPoonam]

MIT University released free online courses.

No textbooks or fees required.

Here are 10 courses you don't want to miss:

[Parul Gautam @Parul_Gautam7]

MIT University is offering free online Learning.

Here are 12 courses you DO NOT want to miss:

1. Introduction to Data Science
https://t.co/YhbOPxP5NN

2. IBM Data Science
https://t.co/hTittRnlXd

3. Advanced Data Science with IBM https://t.co/5iDbatrxv9

4. Applied Data Science with Python https://t.co/pQSF7NL8Gj

5. Data Science: Foundations using R https://t.co/fnEOm8vS3U

6. Learn SQL Basics for Data Science https://t.co/CcaScYkepc

7. Data Science Fundamentals with Python and SQL https://t.co/8mq8LygyKk

8. Advanced Statistics for Data Science https://t.co/57utaeoQWL

9. Mathematics for Machine Learning and Data Science https://t.co/NVdVs4cZdd

10. Genomic Data Science
https://t.co/gr4EGkDc06

11. Executive Data Science
https://t.co/bwnwmRsGNP

12. Data Science with Databricks for Data Analysts https://t.co/5nnMI9c6Ar

Follow @Parul_Gautam7 for more such content.

#mitcourses #free #learning

[Ajit kumar @ajitcodes]

Free courses to learn Data Science in 2023:

1️⃣ IBM Data Science Professional Certificate
https://t.co/3n1QWrd8i5

2️⃣ Python
https://t.co/x4NI6ZXM4O

3️⃣ R
https://t.co/SO1nZRDezi

4️⃣ PowerBI
https://t.co/JRzWGSTvyT

5️⃣ Mathematics
https://t.co/kGESEvjf7t

6️⃣ Tableau
https://t.co/cL1ISBU3Ed

7️⃣ Excel and PowerBI
https://t.co/DwNPTgnYgz

8️⃣ Probability
https://t.co/2LKqzMctXF

9️⃣ Statistics
https://t.co/o5ua6mu9zX

🔟 Linear Algebra
https://t.co/157fOSQXyN

11. Machine Learning
https://t.co/OjMpGsoeTh

12. Deep Learning
https://t.co/TEycinleo0

13. Data Analysis
https://t.co/kSX9TayGmY

14. Data Visualization
https://t.co/p7LVFnLUw5

15. SQL
https://t.co/tEAtE6vZPI

Happy Learning 🌟

[Levi @levikul09]

Many people can't afford a Data Science degree.

I'm one of them.

Here is a roadmap, so you can learn Data Science from the beginning.

[Dr. Sylvie Watikum 🇨🇲🇯🇵 Migration Intelligence @sylviewatikum]

Japan has the STRONGEST PASSPORT IN THE WORLD & studying there will give you a chance to get this passport so here are 15 SCHOLARSHIPS you can use to get in.

I’ve helped 12 students get scholarships in 2023. DM for terms to work with me (NOT TO ASK ABOUT SCHOLARSHIPS)

A THREAD

[Python Coding @clcoding]

Introduction to Statistics (Free Course)

Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights.
https://t.co/qnq3d1sFNu