# Most recents (24)

✅Linear Neural Networks for Regression and Classification explained in simple terms and how to use it (with code).
A quick thread 🧵👇🏻
#Python #DataScience #MachineLearning #DataScientist #Programming #Coding #100DaysofCode #hubofml #deeplearning
Pic credits : Joshua
1/ Imagine you have a box with a lot of buttons on it, and each button can give you a different answer. You also have a big list of questions that you want to ask, like "What's the weather like today?" or "Is this a cat or a dog?".
2/ Now, instead of asking just one button at a time, you can connect all the buttons together with wires. When you ask a question, it goes through the wires and each button can help decide the answer a little bit.
✅Time Series Forecasting explained in simple terms and how to use it ( with code).
A quick thread 🧵👇🏻
#Python #DataScience #MachineLearning #DataScientist #Programming #Coding #100DaysofCode #hubofml #deeplearning
Pic credits : ResearchGate
1/ Imagine you have a special notebook where you write down the temperature outside every day. You write down the temperature in the morning and also in the afternoon. Now, after a few months, you have a lot of temperature numbers in your notebook.
2/ Time series forecasting is like using magic to predict what the temperature might be in the future. You look at all the numbers you wrote down and try to find a pattern or a trend.
✅Generative Adversarial Networks ( GANs) explained in simple terms and how to use it ( with code).
A quick thread 🧵👇🏻
#Python #DataScience #MachineLearning #DataScientist #Programming #Coding #100DaysofCode #hubofml #deeplearning
Pic credits : ResearchGate
1/ Imagine you have two friends, let's call them the "artist" and the "critic." The artist wants to draw something cool, and the critic wants to judge if the drawing is good or not. The artist tries to draw something, and the critic looks at it and says whether it's good or bad.
2/ Now, the artist really wants to improve, so they keep drawing and the critic keeps judging. Over time, the artist gets better and better at drawing because they learn from the critic's feedback. The artist wants to make drawings that the critic will say are really amazing!
Learning data science on your own is tough...

...(ahem, it took me 6 years)

So here's some help.

5 Free Books to Cut Your Time In HALF.

Let's go! 🧵

#datascience #rstats #R
1. Mastering #Spark with #R

This book solves an important problem- what happens when your data gets too big?

For example, analyzing 100,000,000 time series.

You can do it in R with the tools covered in this book.

Website: therinspark.com
2. Geocomputation with #R

Interested in #Geospatial Analysis?

This book is my go-to resource for all things geospatial.

This book covers:
-Making Maps
-Working with Spatial Data
-Applications (Transportation, Geomarketing)

Website: r.geocompx.org
There are 43,515 github repositories that use ChatGPT.

Here are the 5 best. 🧵

#datascience #chatgpt #productivity #datascientist
1. Awesome ChatGPT Prompts (71.2K Stars)

This is a collection of prompt examples to be used with the ChatGPT model.

github.com/f/awesome-chat…
2. ChatGPT Desktop Application (34.2K Stars)

ChatGPT Desktop Application (Mac, Windows and Linux) with multiple features such as text-to-speech, multi-platform, export chat history and more.

github.com/lencx/ChatGPT
" Data Analyst Project on Hotel Booking "

That you can add in your resume or portfolio to showcase your skills 💯

🧵
◻ In Recent Year , City Hotel & Resort Hotel have seen High Cancellation Rates. Each Hotel is now Dealing with number of issue as result including Fewer #revenue & Less than ideal Hotel room use.
🔹 Insights :

1️⃣ More Cancellation occur when prices are higher
2️⃣ When there is Longer waiting list , Customer tend to Cancel more frequently
3️⃣ The majority of Clients are coming from a offline #travel agents to make their #reservations
" SQL Puzzle Interview Question "

🧵
Table script:

create table input (
id int,
formula varchar(10),
value int
)
insert into input values (1,'1+4',10),(2,'2+1',5),(3,'3-2',40),(4,'4-1',20);
" Exploratory Data Analysis on Terrorism "

🧵
We are performed Exploratory Data Analysis on terrorism #dataset to find out the hot zone of #terrorism. #EDA nothing but #analyzing the given data & finding the #trends, patterns & making some assumptions. #DataVisualization #DataScience #MachineLearning
In this #dataset, there are many features including countries, states, regions, gang names, weapon types, target types, years, months, days, and many more features.
How should you 𝐥𝐞𝐚𝐫𝐧 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈? 🚀

🧵
It's easy to be overwhelmed by how broad #PowerBI is😖

If you're starting out, here's the path I recommend⏬
📊 𝐃𝐚𝐭𝐚 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠
Begin by learning to organize data into tables, create relationships, and add calculated columns and measures.

This is the most important part of your journey, as understanding the #data is always the first step in Power BI development.
📊 Hey Folks

✍ So Day - 6 on #powerbi 🚀

🧵👇
⚠ Today I Made a Awesome #America Retail Analysis Dashboard

🎇 The beauty of Power BI is that you can look at each element to make better #decisions. The #dashboard's visual representation allows users to quickly see the #data that's relevant for the choices they have to make
🔥Then, define clear objectives to ensure that the dashboard accurately reflects your desired outcomes. 👇

#PowerBI #100DaysOfCode #100daysofcodechallenge #Data #100daysofcoding #developer #DataScience #dataScientist #DataAnalytics #excel #SQL #tableau #visualization #Dashboard
💥14 herramientas secretas impulsadas por #RStats para ahorrar tiempo y esfuerzo en tus proyectos de datos (¡No te lo pierdas!):👀
1️⃣ ¡Edita tus datos de forma interactiva (y guarda el código)! 👀
📦 'editData' es un complemento de RStudio para editar un data.frame o un tibble de forma interactiva
🔗 buff.ly/3U5Tgjy

#DataScience #DataVisualization #dataviz #stats #analytics #RStats #Analytics
2️⃣ ¡Crea gráficos #ggplot de forma interactiva!🚀
📦esquisse es otro de mis addins favoritos de #rstudio
✅ exporta el gráfico o recupera el código para reproducir el gráfico
🔗 buff.ly/3mxLHSo
#DataScience #DataVisualization #dataviz #stats #analytics #RStats #Analytics
🤔 ¿Qué es un algoritmo? ¿Cómo resolver problemas con algoritmos? (Aplica hasta para la vida, pero lo estoy estudiando para programación jeje)

🧵 👇
👉 Se denomina algoritmo a un grupo finito de operaciones organizadas de manera lógica y ordenada que permite solucionar un determinado problema. Una serie de instrucciones o reglas establecidas que, por medio de una sucesión de pasos, permiten arrojar a un resultado o solución.
⚙️ ¿Cómo construir un algoritmo?

Lo primero es: Tener claro el requerimiento

💡 Ejemplo: "Quiero encender la luz de la habitación, donde estoy en este momento"

👣 Lo que haremos....
🎯Day -17 on SQL Questions Series📓

▶️Today I Solved the #Olympic Gold Medal
Problem

🧵👇
Q17 ) In problem where we need to find player with no of gold medals won by them only for players who won only gold medals.?
📓Code Snippets :
Day -16 on #Leetcode SQL Questions Series

🎯Today I Take a Question From
@LeetCode Platform 🔥

🧵👇
Q16 ) Write an SQL query to report all customers who never order anything.

Return the result table in any order.
🙌Thankyou @LeetCode for Providing such a great SQL Questions

📓Code Snippets :
Hey Folks 😃

📗Here are my Last 15 days Of SQL Questions Series Practice

🧵👇
Day -15 on #Leetcode SQL Questions Series

🎯Today I Take a Question From @LeetCode Platform 🔥

🧵👇
Q15) A company's executives are interested in seeing who earns the most money in each of the company's departments. A high earner in a department is an employee who has a salary in the top three unique salaries for that department.
--- Write an SQL query to find the employees who are high earners in each of the departments.
Day -12 on #JPMorgan SQL Questions Series

🧵👇
Q12) Write a query that outputs the name of each credit card and the difference in issued amount between the month with the most cards issued, and the least cards issued. Order the results according to the biggest difference.
🫡Thankyou Shri @NickSinghTechSir For Creating Such a Great Platform
@DataLemurHQ For SQL & Data Science Learners

🖍️Code Snippet :
Learn SQL projects for Data Analysis and add to your portfolio for free 🥳

Projects for the portfolio are very important. These projects will improve your skills

A thread 🧵👇
1.
2.
Day -11 on #TikTok SQL Questions Series

🧵👇
Q11) New TikTok users sign up with their emails & each user receives a text confirm to activate their Acc. Assume you r given below tables about email & text

Write query to display the id of the users who didn't confirm on the first day of sign-up but confirmed on the second day
🫡Thankyou Shri @NickSinghTechSir For Creating Such a Great Platform @DataLemurHQ For SQL & Data Science Learners

🖍️Code Snippet :
▶️You want to reach an intermediate SQL level inside a week 🔥

💯 I have the recipe for it

Yeah, no kidding. Seriously🫡

Source - Sidharth Kriplani Sir

🧵👇
1⃣Day One:
SQL Bolt (sqlbolt.com)
Data science skill (bit.ly/3i6obPg)
2⃣Day Two:
Average post hiatus (bit.ly/3WRPv2I)
Teams power users (bit.ly/3jCIggI)
Cards issued difference (bit.ly/3YUdhgi)
Day -🔟 on @facebook SQL Questions Series 🚀🎯

& Extremely sorry guys🙏 from last 2 days I am not posted but now onward i will Continue these series 😃🔥

🧵👇
Q10) Assume you have an events table on app analytics. Write a query to get the app’s click-through rate (CTR %) in 2022. Output the results in percentages rounded to 2 decimal places.
🫡Thankyou Shri @NickSinghTechSir For Creating Such a Great Platform @DataLemurHQ For SQL & Data Science Learners

🖍️Code Snippet :
📝Data science blogs💡

✅A curated list of data science blogs

🧵👇
📌A Blog From a Human-engineer-being erogol.com (RSS)

📌Aakash Japi aakashjapi.com (RSS)

📌Advanced Analytics & R
advanceddataanalytics.net (RSS)

📌Adventures in Data Land blog.smola.org (RSS)

📌Agile Data Science blog.sense.io (RSS)
📌Ahmed El Deeb medium.com/@D33B (RSS)

📌Airbnb Data blog nerds.airbnb.com/data/ (RSS)

📌Alex Castrounis | InnoArchiTech innoarchitech.com (RSS)

📌Alex Perrier alexperrier.github.io (RSS)
It's time for a MetaThread!

Every couple of months or so I create a thread about very useful threads I saved from Twitter. Let's get started 🧵