Kaggle Micro Course

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8 hours agoPython Learn the most important language for data science. Intro to Machine Learning Learn the core ideas in machine learning, and build your first models. Pandas Solve short hands-on challenges to perfect your data manipulation skills. Intermediate Machine Learning Handle missing values, non-numeric values, data leakage, and more.

1. PythonPython - Learn Python, Data Viz, Pandas & More | Tutorials | Kaggle
2. PandasLearn Pandas Tutorials - Kaggle. Practical data skills you can apply immediately: …
3. Intermediate Machine Lear…Learn Intermediate Machine Learning Tutorials - Kaggle
4. Data VisualizationLearn Data Visualization Tutorials - Kaggle
5. Intro to SQLLearn Intro to SQL Tutorials - Kaggle. Practical data skills you can apply …
6. Machine Learning Explaina…Learn Machine Learning Explainability Tutorials - Kaggle

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5 hours agoKaggle, a data scientist company and subsidiary of Google, offers 12 free micro-courses designed to improve data science skills. Each course is between 1 and 7 hours and is comprised of a few lessons each. The lessons consist of explanations of concepts with examples followed by labs of exercises with hints and solutions, if needed. More ›

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2 hours agoKaggle Micro-courses ranges from basic python to Machine Learning, NLP, DataVisualization, pandas, Geospatial analysis, Reinforcement Learning, etc., There are approx. 16 of such courses and each consists of few modules with learning and practise parts and you need to complete the practise parts to unlock the certificate.

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6 hours ago

Estimated Reading Time: 5 mins
Published: Jun 19, 2020
1. Python. This mini-course gives you a chance to build a basic understanding of the Python language and its syntax. Each mini-course is divided into smaller chapters followed by coding practice questions.
2. Intro to Machine Learning and Intermediate Machine Learning. These are, in fact, two courses. Both of these micro-course, like the rest of their series, are very well-written and engaging.
3. Data Visualization. This mini-course explores all sorts of visualization techniques and teaches you how and when to use line charts, bar charts, heatmaps, scatter plots and density plots.
4. Pandas. This mini-course is quick and effective in building the most fundamental pandas tools. It starts off by teaching you how to create, read and write data.
5. Feature Engineering. It’s time to improve your models! In this mini-course you learn to create baseline models, encode categorical data, generate features and select the right ones best suited for your model.
6. Deep Learning. It’s quite amazing how quickly these courses get you to try things like deep learning and NLP even if at a very basic level! This course explores a variety of chapters and techniques.
7. Intro to SQL and Advanced SQL. Want to understand how SQL queries work? The intro course explains how you write all sorts of basic SQL queries by making you comfortable using the most common keywords like SELECT, FROM, WHERE, GROUP BY, HAVING, COUNT, ORDER BY, AS and WITH.
8. Geospatial Analysis, Natural Language Processing, Game AI and Reinforcement Learning. In the Geospatial analysis course, you will learn how to create your first map using GeoPandas as well as making interactive and choropleth maps.

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7 hours agoMicro courses by Kaggle Kaggle is the best learning resource which not only teaches you the theory but also helps you follow a practical approach to learning. You can take micro-courses by Kaggle to learn Data Science in a limited time frame. 1. Python The micro-course on Python is essential for those who are completely new to programming.

Estimated Reading Time: 2 mins

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5 hours agoCourse. Take courses from the world's best instructors and universities. Courses include recorded auto-graded and peer-reviewed assignments, video lectures, and community discussion forums. When you complete a course, you’ll be eligible to receive a shareable electronic Course Certificate for a small fee. Specialization.

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6 hours agoHow To Take Micro-Courses With Kaggle Learn. By. Annastasia Kamwithi-March 6, 2020. Kaggle Learn is one of the most popular online platforms for competitions in Data Science. If you are a beginner however, it can be quite intimidating, but that’s why we are here to help you get started on this learning app.

Estimated Reading Time: 4 mins

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3 hours agoKaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access free GPUs and a huge repository of community published data & code. Register with Google. Register with Email. Inside Kaggle you’ll find all the code & data you need to do your data science work. Use over 50,000 public datasets and 400,000 public notebooks to

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4 hours ago· Micro courses by Kaggle Kaggle is the best learning resource which not only teaches you the theory but also helps you follow a practical approach to learning. You can take micro-courses by Kaggle to learn Data Science in a limited time frame. 1. 292 People Learned More Courses ›› View Course Is Kaggle Learn a “Faster Data Science Education?”

Rating: 4.8/5(47)

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3 hours agoIn this video, I will show how you can learn data science for free with Kaggle Micro-Courses. 🌟 Buy me a coffee: https://www.buymeacoffee.com/dataprofessor⭕

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9 hours agoKaggle, a data scientist company and subsidiary of Google, offers 12 free micro-courses designed to improve data science skills. Each course is between 1 and 7 hours and is comprised of a few lessons each. The lessons consist of explanations of concepts with examples followed by labs of exercises with hints and solutions, if needed. More ›

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6 hours ago

1. Python. This is the first mini-course in the series of courses provided for Data Science. And that’s because you need to learn Python before venturing into deeper waters!
2. Introduction to Machine Learning. Machine Learning is an important part of Data Science as ML algorithms are trained using data and then used with data based on their requirement.
3. Intermediate Machine Learning. After the introduction, Kaggle then has the Intermediate Machine Learning micro-course that delves deeper into Machine Learning.
4. Data Visualization. The next course focuses on Data Visualization, which is an immensely important part of Data Science. It is very difficult to convey data insights and patterns to people when that data is stored in rows and rows of tables.
5. Pandas. Pandas is a very popular Python software library for data analysis and data handling. So it stands to reason that this is the next mini-course you are going to learn.
6. Intro to Deep Learning. Kaggle Courses also focus on Deep Learning at a basic level so that you can move on to advanced topics on your own later. This course starts with an introduction of deep learning in computer vision and then moves on to building models from convolutions, TensorFlow, and Keras programming, building highly accurate models using transfer learning, as well as making more data available for model training using data augmentation.
7. Introduction to SQL. Now we move into the realm of databases and with it, comes SQL! As you know, SQL is a very popular database management language, so it’s obvious that a Kaggle micro-course covers this as well.
8. Advanced SQL. After the introduction to SQL, Kaggle then moves on to the advanced SQL micro-course that teaches this topic in further detail. This includes more information about the various Joins and Unions as well as explaining analytic functions, nested data, and repeated data.
9. Geospatial Analysis. Geospatial Analysis focuses on Geospatial data and how to handle it correctly. This mini-course starts with learning how to plot in GeoPandas, an open-source project that makes working with geospatial data in Python much easier.
10. Natural Language Processing. This is a short course that teaches the basics of Natural Language Processing. NLP is a part of Artificial Intelligence that focuses on teaching language like speech and text to machines.

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Just Now5 hours ago kaggle micro courses provides a comprehensive and comprehensive pathway for students to see progress after the end of each module. With a team of extremely dedicated and quality lecturers, kaggle micro courses will not only be a place to share knowledge but also to help students get inspired to explore and discover many creative

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3 hours agoAnswer (1 of 13): Can you learn driving by participating in rally races? Sure you can, by slowly figuring out what the different pedals does, how your car reacts when you're turning the steering wheel. But is it the best way? Probably not! What Kaggle does offers is amazing, a …

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2 hours agolevel 1. janiedebica. · 2y. I've used them to learn Kaggle platform (but having experience in Jupyter / Python / Tensorflow) and get through some of their training datasets. As already written, they are really micro courses. 1. level 2. lamelkor.

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8 hours agoKaggle micro courses after Andrew Ng's Machine Learning course? I digged around a bit and saw a lot of people recommending to learn Python since Octave isn't used anymore. Are the Kaggle micro courses a good idea? Or are there any other courses that's much more recommended? 14 comments. share. save. hide.

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4 hours agoOnline nylatechnologysolutions.com. Kaggle, a data scientist company and subsidiary of Google, offers 12 free micro-courses designed to improve data science skills. Each course is between 1 and 7 hours and is comprised of a few lessons each.

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6 hours agoJust Now Kaggle, a data scientist company and subsidiary of Google, offers 12 free micro -courses designed to improve data science skills. Each course is between 1 and 7 hours and is comprised of a few lessons each. 268 People Learned. Category: Free Courses Show more Kaggle Learn Pandas – Open Source Biology & Genetics

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7 hours ago7 hours ago Hot www.xpcourse.com. Kaggle Courses: Python and Intro to Machine Learning.Kaggle, a data scientist company and subsidiary of Google, offers 12 free micro- courses designed to improve data science skills. Each course is between 1 and 7 hours and is comprised of a few lessons each. Category: Free Courses Show more.

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8 hours agoKaggle Courses: Python and Intro to Machine Learning. Kaggle, a data scientist company and subsidiary of Google, offers 12 free micro-courses designed to improve data science skills. Each course is between 1 and 7 hours and is comprised of a few lessons each.

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1 hours agoKaggle Learn bills itself as "Faster Data Science Education," a free repository of micro-courses covering an array of "[p]ractical data skills you can apply immediately.". As I'm sure you are well aware, there are all sorts of free and low-cost data science education alternatives available via numerous online platforms.

Estimated Reading Time: 6 mins

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6 hours agoSome of the micro-courses have prerequisite knowledge that is needed in order to understand the content. This depends on the topic of the course. Ratings and reviews. The Kaggle community highly rates the platform and the users really enjoy the competitions and opportunities to continue learning.

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6 hours agoKaggle, a data scientist company and subsidiary of Google, offers 12 free micro-courses designed to improve data science skills. Each course is between 1 and 7 hours and is comprised of a few lessons each. The lessons consist of explanations of concepts with examples followed by labs of. Rating: 4.3/5 (40)

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6 hours agoKaggle Courses: Python and Intro to Machine Learning. Top nylatechnologysolutions.com. Kaggle, a data scientist company and subsidiary of Google, offers 12 free micro-courses designed to improve data science skills. Each course is between 1 and 7 hours and is comprised of a few lessons each.

Rating: 4.4/5(49)

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4 hours agoKAGGLE is an online platform of data scientists and machine learners. Free micro-courses taught in Jupyter Notebooks to help you improve your current skills. There are courses for user . Each

Estimated Reading Time: 3 mins

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Just NowKaggle Micro Course XpCourse. Kaggle Xpcourse.com All Courses . 4 hours ago Kaggle, a subsidiary of Google LLC, is an online community of data scientists and machine learning …New content will be added above the current area of focus upon

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3 hours agoDeep Dive into Machine Learning MicroCourse Part 7 on Kaggle Exercise: Machine Learning Competitions Learn how to submit your dataset for Kaggle Competitionh

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1 hours agoWhile these courses are not deeply in-depth, they are the fastest way to start practicing on Kaggle. The Micro-Courses (as they are called) start from the basics like Python, Machine Learning, SQL, Data Visualization and move on to more complex topics like Pandas, Deep Learning, Geospatial Analysis, etc. 4.

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5 hours agoKaggle Micro-Course. Screenshot by Anvesh Chinnu. The first online course that I’m going to recommend is the Kaggle micro-courses. I love Kaggle. I just think that they have a great product.

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5 hours agoRecently, I did the micro course Machine Learning Explainability on kaggle.com.I can highly recommend this course as I have learned a lot of useful methods to analyse a trained ML model. For a brief overview of the topics covered, this blog post will summarize my learnings.

Estimated Reading Time: 6 mins

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7 hours ago4 hours ago Kaggle Courses: Python and Intro to Machine Learning. Kaggle, a data scientist company and subsidiary of Google, offers 12 free micro-courses designed to improve data science skills. Each course is between 1 and 7 hours and is comprised of a few lessons each. Rating: 4.9/5 (41)

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8 hours agoKaggle เปิด 10 Micro-Course ฟรีด้าน Data Science ช่วยให้ผู้เริ่มต้นเรียนรู้ได้เร็วขึ้น. trainadmin September 4, 2019 AI & Data Science, Course Types, Featured Courses, Free, Online

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1. Machine Learning Competitions. This is what kaggle is famous for. Find the problems you find interesting and compete to build the best algorithm. Common Types of Kaggle Competitions.
2. Datasets. Kaggle datasets are the best place to discover, explore and analyze open data. You can find many different interesting datasets of types and sizes you can download for free and sharpen your skills.
3. Kaggle Learn courses. Free micro-courses taught in Jupyter Notebooks to help you improve your current skills.
4. Discussion: A place to ask questions and get advice from the thousands of data scientists in the Kaggle community. There are six general site Discussion Forums
5. Kernels. Kaggle Kernels are essentially Jupyter notebooks in the browser. These kernels are entirely free to run (you can even add a GPU). This means you can save yourself the hassle of setting up a local environment.

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2 hours ago

1. Kaggle micro-courses. I know it may be weird to start here, as many would prefer to start with the heaviest foundations and math videos to fully understand what is happening behind each ML model.
2. Book: Data Science from Scratch. At this point, we will momentarily separate ourselves from pandas, scikit-learn, and other Python libraries to learn in a practical way what is happening “behind” these algorithms.
3. Online Course: Machine Learning by Andrew Ng. Here we are going to see many of the things that we have already learned but we are going to watch it explained by one of the leaders in the field, and his approach is going to be more mathematical so it will be an excellent way to understand our models even more.
4. Book: The Elements of Statistical Learning. Now the heavy math part starts. Imagine if we had started from here, it would have been an uphill road all along and we probably would have given up easier.
5. Online Course: Deep Learning by Andrew Ng. By now, you have probably already read about deep learning and play with some models. But here we are going to learn the foundations of what neural networks are, how they work and learn to implement and apply the different architectures that exist.

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2 hours agoIMO, the best place to start is with a Coursera or even a Udemy course for the basics. In addition, I’ve found it very useful to go onto Kaggle and look through competition-winning kernels and highly rated kernels with EDAs. Once you have a handle on the concepts and programming, start entering competitions on Kaggle as well.

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9 hours agoWhat are Kaggle micro-courses? The Micro-Courses (as they are called) start from the basics like Python, Machine Learning, SQL, Data Visualization and move on to more complex topics like Pandas, Deep Learning, Geospatial Analysis, etc. 4. Discussion: There is an entire Discussion section on Kaggle apart from the option of commenting in Notebooks.

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3 hours agoKaggle hosts community discussion forums and micro-courses. Forum topics include Kaggle itself, getting started, feedback, Q&A, datasets, and micro-courses. Micro-courses cover skills relevant to

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7 hours ago

1. Kaggle micro-course: Python. If you are familiar with Python you can skip this part. Here you’ll learn basic Python concepts that will help you start learning data science.
2. Kaggle micro-course: Pandas. Pandas is going to give us the skills to start manipulating data in Python. I consider that a 4-hour micro-course and practical examples is enough to have a notion of the things that can be done.
3. Kaggle micro-course: Data Visualization. Data visualization is perhaps one of the most underrated skills but it is one of the most important to have. It will allow you to fully understand the data with which you will be working.
4. Kaggle micro-course: Intro to Machine Learning. This is where the exciting part starts. You are going to learn basic but very important concepts to start training machine learning models.
5. Kaggle micro-course: Intermediate Machine Learning. This is complementary to the previous one but here you are going to work with categorical variables for the first time and deal with null fields in your data.
6. Kaggle Playground Competition: Titanic. Here you’ll put into practice what you learned in the introductory courses. Maybe it will be a little intimidating at first, but it doesn’t matter it’s not about being first in the leaderboard, it’s about learning.
7. Kaggle Playground Competition: Housing Prices. In this competition, you are going to apply regression models and learn about relevant metrics such as RMSE.
8. Book: Data Science from Scratch. At this point we will momentarily separate ourselves from pandas, scikit-learn and other Python libraries to learn in a practical way what is happening “behind” these algorithms.
9. Online Course: Machine Learning by Andrew Ng. Here we are going to see many of the things that we have already learned but we are going to watch it explained by one of the leaders in the field and his approach is going to be more mathematical so it will be an excellent way to understand our models even more.
10. Book: The Elements of Statistical Learning. Now the heavy math part starts. Imagine if we had started from here, it would have been an uphill road all along and we probably would have given up easier.

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2 hours agoKaggle Micro Courses Kaggle. Language: English Get Access. Free online courses for high school students Coursera. Language: English Valid Till: May 31, 2020. Get Access. Learn to Code From Home FreeCodeCamp. Language: English. Get Access. Free courses for college students

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Just NowStep 3: Kaggle Micro Courses. After you are familiar with Python/R and a little bit of Statistics, its time to get some hands-on with the coding and Machine Learning concepts and their implementation.

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Frequently Asked Questions

What are Kaggle micro-courses?

The Micro-Courses (as they are called) start from the basics like Python, Machine Learning, SQL, Data Visualization and move on to more complex topics like Pandas, Deep Learning, Geospatial Analysis, etc. 4. Discussion: There is an entire Discussion section on Kaggle apart from the option of commenting in Notebooks.

What is Kaggle and how to get started?

The aim of this article is to help you to get started on Kaggle and join the world’s largest machine learning and data science community. So what is Kaggle ? Kaggle as they say is “Your Home for Data Science”.

Is Kaggle useful for learning data science?

All in all, Kaggle is very useful for learning data science and for competing with others on data science challenges. It’s also very useful as a repository for standard public datasets. It’s not, however, a replacement for paid cloud data science services or for doing your own analysis.

Can you learn machine learning completely through Kaggle?

Kaggle will provide extremely limited exposure to everything but modelling. So, no, you will not learn machine learning completely through Kaggle, at least not the type of machine learning that a company will pay you money do to.

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