Geek Goddess by TechGig is a coding contest exclusively for women in technology, offering a platform for coders to showcase their skills to the world. The contest is open to 52 programming languages and will be conducted in three rounds: open-round, semi-finals, and finale. The top 300 semi-finalists will advance to the final round. The contest aims to identify top women developers in India and provide an opportunity to interact with leading women in technology. The winner will receive recognition at the national level as the Best Women Coder and an e-certificate with All India Rank for all Coders.

Apply Now:
https://shorturl.at/bvDP1

Registration is completely free of cost.

This contest is only for women coder.

🚶𝗛𝘂𝗿𝗿𝘆 𝗨𝗽, 𝗳𝗲𝘄 𝘀𝗲𝗮𝘁𝘀 𝗹𝗲𝗳𝘁!

CS193p - Developing Apps for iOS
Taught By Stanford University

🆓 Free Online Course
🎬 18 Video lectures
🧮 Problem Sets
☢️ Projects
🏃‍♂️ Self paced
📶 Assignments

🔗 https://cs193p.sites.stanford.edu/

#IOS #APPS
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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

Hey Future Leaders!

We're thrilled to announce that the Coding Ninjas Campus Ambassador Program is now accepting applications for the October-November batch!

As a Campus Ambassador, you won't just learn coding; you'll gain hands-on experience in organizing exciting events, networking with fellow enthusiasts, and representing Coding Ninjas on your campus. Imagine winning cool merchandise while honing your leadership and community-building skills! 🎉

So don't miss out on this chance to enhance your skills, expand your network, and make a mark in the tech community!

Apply Now -https://bit.ly/3RRNjZw

Bootstrap free courses

Bootstrap 4 for Responsive Web Design
🎬 13 video lesson
🏃‍♂️ Self paced
Teacher: Brad Hussey
Resource: cosmolearning
🔗 Course Link

How to Create a Website using Bootstrap 4
Rating ⭐️: 4.5 out of 5
Students 👨‍🎓: 11,124
Duration ⏰: 1hr 55min
Created by: Laurence Svekis
🔗 Course Link

Learn Bootstrap by creating a custom admin theme
🎬 22 video lesson
Duration ⏰: 2-3 hours worth of material
🏃‍♂️ Self paced
Teacher: freecodecamp
🔗 Course Link

Getting Started With Bootstrap 4
🎬 12 video lesson
🏃‍♂️ Self paced
Resource: Youtube
🔗 Course Link

Interactive Bootstrap tutorials. (No Video)
⏳Modules: 31
☢️ Exercises, Programs
🏃‍♂️ Self paced
Resource: freecodecamp
🔗 Course Link

Some Useful websites about Bootstrap
tutorialrepublic
bootstrap 4
freecodecamp
bootstrapbay
w3schools
taniarascia


#Bootsrap #Bootstrap_4
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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

Master 20+ skills for just 99/Year

💰150+ courses to learn from
📺Access to Live workshops
📚Interview Preparation
💼Access to exclusive EdYoda JOB PORTAL
📜Download 150+ Course completion certificates


Start now

https://bit.ly/3IMOy6t

Offer valid for limited time only!

Geek Goddess by TechGig is a coding contest exclusively for women in technology, offering a platform for coders to showcase their skills to the world. The contest is open to 52 programming languages and will be conducted in three rounds: open-round, semi-finals, and finale. The top 300 semi-finalists will advance to the final round. The contest aims to identify top women developers in India and provide an opportunity to interact with leading women in technology. The winner will receive recognition at the national level as the Best Women Coder and an e-certificate with All India Rank for all Coders.

Apply Now:
https://shorturl.at/bvDP1

Registration is completely free of cost.

This contest is only for women coder.

🚶𝗛𝘂𝗿𝗿𝘆 𝗨𝗽, 𝗳𝗲𝘄 𝘀𝗲𝗮𝘁𝘀 𝗹𝗲𝗳𝘁!

𝗔𝗻𝘆𝗼𝗻𝗲 𝘄𝗵𝗼 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝗮𝗯𝗼𝘂𝘁 𝗔𝗽𝘁𝗶𝘁𝘂𝗱𝗲, 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴, 𝗩𝗲𝗿𝗯𝗮𝗹 𝗔𝗯𝗶𝗹𝗶𝘁𝘆, 𝗗𝗮𝘁𝗮 𝗜𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁𝗮𝘁𝗶𝗼𝗻, 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲, 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗦𝘁𝘂𝗱𝗶𝗲𝘀, 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗔𝘄𝗮𝗿𝗲𝗻𝗲𝘀𝘀 𝗮𝗻𝗱 𝗖𝘂𝗿𝗿𝗲𝗻𝘁 𝗔𝗳𝗳𝗮𝗶𝗿𝘀 𝗮𝗻𝗱 𝘄𝗮𝗻𝘁 𝗳𝗿𝗲𝗲 𝘀𝘁𝘂𝗱𝘆 𝗺𝗮𝘁𝗲𝗿𝗶𝗮𝗹𝘀 𝗷𝗼𝗶𝗻 𝘁𝗵𝗲 𝗯𝗲𝗹𝗼𝘄 𝗿𝗲𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲 𝗴𝗿𝗼𝘂𝗽𝘀.

𝟭. 𝗔𝗽𝘁𝗶𝘁𝘂𝗱𝗲:

@aptitude_official

𝟮. 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴:

@reasoning_official

𝟯. 𝗩𝗲𝗿𝗯𝗮𝗹 𝗔𝗯𝗶𝗹𝗶𝘁𝘆:

@verbal_ability_official

𝟰. 𝗗𝗮𝘁𝗮 𝗜𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁𝗮𝘁𝗶𝗼𝗻:

@data_interpratation

𝟱. 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲:

@general_knowledge_official

𝟲. 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗦𝘁𝘂𝗱𝗶𝗲𝘀:

@general_studies_official

𝟳. 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗔𝘄𝗮𝗿𝗲𝗻𝗲𝘀𝘀:

@general_awareness_official

𝟴. 𝗖𝘂𝗿𝗿𝗲𝗻𝘁 𝗔𝗳𝗳𝗮𝗶𝗿𝘀:

@current_affairsofficial

𝗡.𝗕:
𝗧𝗵𝗲𝘀𝗲 𝗴𝗿𝗼𝘂𝗽𝘀 𝗮𝗿𝗲 𝗺𝗮𝗱𝗲 𝗯𝘆 𝘀𝗼𝗺𝗲 𝘀𝗮𝗺𝗲 𝗺𝗶𝗻𝗱𝗲𝗱 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀. 𝗧𝗵𝗼𝘀𝗲 𝘄𝗵𝗼 𝗮𝗿𝗲 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗲𝗱 𝗮𝗯𝗼𝘂𝘁 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗘𝘅𝗮𝗺𝗶𝗻𝗮𝘁𝗶𝗼𝗻𝘀 𝗼𝗻𝗹𝘆 𝘁𝗵𝗲𝘆 𝘀𝗵𝗼𝘂𝗹𝗱 𝗷𝗼𝗶𝗻.

NextJS Cheat Sheet

Join @Coding_CommunityOfficial for more

𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

🏏 Join the Coding World Cup challenge now! Test your coding skills and cricket knowledge.

📆 Starts: 5th Oct, 2023

🏆 Prizes: Logitech MX Series products

🚀 How to participate:

1. Solve daily coding and cricket trivia on : https://bit.ly/48XQC7Y

2. Share solutions on LinkedIn with #CodingWorldCup & #CodingNinjas

3. Climb the leaderboard to become the CN Coding World Cup champ!

Beginner’s Essential
Javascript Cheat Sheet of 29 pages

Join @Coding_CommunityOfficial for more

𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

Geek Goddess by TechGig is a coding contest exclusively for women in technology, offering a platform for coders to showcase their skills to the world. The contest is open to 52 programming languages and will be conducted in three rounds: open-round, semi-finals, and finale. The top 300 semi-finalists will advance to the final round. The contest aims to identify top women developers in India and provide an opportunity to interact with leading women in technology. The winner will receive recognition at the national level as the Best Women Coder and an e-certificate with All India Rank for all Coders.

Apply Now:
https://shorturl.at/bvDP1

Registration is completely free of cost.

This contest is only for women coder.

🚶𝗛𝘂𝗿𝗿𝘆 𝗨𝗽, 𝗳𝗲𝘄 𝘀𝗲𝗮𝘁𝘀 𝗹𝗲𝗳𝘁!

GFG JOB-A-THON ANSWERS 👇

@gfg_discuss @gfg_discuss

@gfg_discuss @gfg_discuss

One of the most frequent questions I got is how to start with data science and machine learning as a complete beginner, and what skills do you need to have. Do you need to know programming, do you need to know math etc.
Below is my answer I wrote on my discord server, few years ago. It's still relevant and hopefully helpful.

Here are some things you should be familiar with to start your journey as data scientist:

Statistics
You need to have some statistical knowledge, like theory of probability, bayes theorem, probability distributions (uniform, normal/gaussian, logarithmic, exponential, chi-square distribution etc), you should know some basics like what is mean, median and mode. You should understand hypothesis testing and statistical significance as well. If mentioned terms are not familiar to you try researching about them. I shared 4 books of statistics for data science here at discord, they might be useful.

Programming
Generally you are going to need some programming background, which languages have you used before?
Most of people use python, it's great for preparing data as well as using some ML packages for creating machine learning models. What is great about Python is that it's very beginner friendly. R programming language is another option for data science/machine learning. Java and Scala offers nice libraries for data science as well. I personally use Java at my work.

Most important libraries
In case Python is your first choice (and it probably is if you are beginner) then you should check pandas - the biggest library for data manipulation and data analysis, numpy - library for multidimensional arrays and matrices, there are many libraries for machine learning as Keras (Deep learning), Scikit-learn, PyTorch, TensorFlow. Some libraries for data visualization are also important - biggest is matplotlib but there are also Seaborn, Plotly, ggplot, Bokeh...
When it comes to java i use deeplearning4j, ApacheSpark, Apache Hadoop, and bunch of NLP (Natural Processing Libraries) which are not so important now if you are total beginner. We will get you there eventually.


Where to start?
If this sounds like too much for you don't worry, that is just an overview of situation in the field. You don't have to know all those libraries, some basics of Pandas, Numpy and maybe Scikit-learn for beginning is enough.

First thing i have ever read about machine learning which is very important for data science is this medium article:
https://medium.com/@ageitgey/machine-learning-is-fun-80ea3ec3c471
It's subtitle is: The world’s easiest introduction to Machine Learning and it's not far form truth. After i read this i understood machine learning as well as data science much better.
Tip: medium allows you to read 3 articles for free per month, but if you open them in incognito mode you have unlimited access to all articles for free smile

After finishing this try researching about other ML concepts like: Types of ML algorithms, classification and regression problems, overfitting/underfitting, model evaluation techniques and measures etc.
I would definitely recommend Andrew Ng's courses on coursera, some of them are available on yt as well.

Once you understand basic concepts, you can dive deeper in data science. Learn about datasets, how to prepare data, how to handle missing values, how to perform feature engineering etc. and try to solve some real world data science problems. I shared 500+ interesting data science projects with source code in post above. I also shared a data science live course by UC Berkeley, Fall 2022. Go check that as well.


Phew 😅 , that was lots of text. I got really tired writing it. But since i get 10-20 of these questions every day, mostly on Instagram and WhatsApp, it's better to have all written in one place. I hope i helped, good luck with your data science journey!

#data_science #datascience #Berkeley
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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍