- Видео 66
- Просмотров 32 178
Karina Data Scientist
Австралия
Добавлен 6 май 2024
Hi, I'm Karina! A decade ago, I transitioned from finance to the world of data analytics and data science. It is all started with simple VBA code, and I knew my life will never be the same. After that it was SQL, R, Python, PowerBI, Tableau, hours spent with Stackoverflow and RUclips tutorials.
⚡️Want to learn Python or start coding, but it feels overwhelming - start with my "Data Analysis with Python" beginner-friendly masterclass: karinadatascientist.com/
⚡️
Through my channel, I want to demystify data analysis and share my knowledge - from statistics and Excel to Python and ChatGPT.
Want to learn something new? Subscribe and hit the bell to get notified when I upload new videos!
⚡️Want to learn Python or start coding, but it feels overwhelming - start with my "Data Analysis with Python" beginner-friendly masterclass: karinadatascientist.com/
⚡️
Through my channel, I want to demystify data analysis and share my knowledge - from statistics and Excel to Python and ChatGPT.
Want to learn something new? Subscribe and hit the bell to get notified when I upload new videos!
Hugging Face Tutorial (2024) - Sentiment Analysis, Text Generation, LLM
In this video I show you everything how to get started with Huggingface and the Transformers library. We build a sentiment analysis, text generation, question answering and summarization pipelines. I also show how you can fine tune your own models.
💌 Get access to different freebies, sign up to my newsletters - stan.store/KarinaDataScientist
⚡️Just stating with Python? Learn how to clean and manipulate data using Pandas and how to create various types of visuals with Matplotlib. Start your programming journey with "Data Analysis with Python Masterclass" - stan.store/KarinaDataScientist⚡️
🧠 AI to help you analyse your data - powerdrill.ai/?via=karina-sam...
Timestamps:
00:00 Intro
00:36 Hugging ...
💌 Get access to different freebies, sign up to my newsletters - stan.store/KarinaDataScientist
⚡️Just stating with Python? Learn how to clean and manipulate data using Pandas and how to create various types of visuals with Matplotlib. Start your programming journey with "Data Analysis with Python Masterclass" - stan.store/KarinaDataScientist⚡️
🧠 AI to help you analyse your data - powerdrill.ai/?via=karina-sam...
Timestamps:
00:00 Intro
00:36 Hugging ...
Просмотров: 174
Видео
Data Analytics Portfolio Project - Netflix customer base (Python)
Просмотров 992День назад
In this video we will analyse Netflix customer data. We will create various bar charts and a map to visualize data using Plotly, Seaborn and Matplotlib Python Libraries. We will make several pivots, so it is easier to create the summary report. Dataset used can be found here - www.kaggle.com/datasets/arnavsmayan/netflix-userbase-dataset Summary Report and other freebies - stan.store/KarinaDataS...
Excel Functions EVERYONE needs
Просмотров 1,3 тыс.14 дней назад
In this Excel tutorial we will talk about Excel functions that can speed up your work and simplify your life: filter, sort, textsplit, textjoin, choosecols, chooserows, take, datedif. Timestamps: 00:00 Intro 00:41 CHOOSECOLS 02:05 CHOOSEROWS 02:36 SORT 05:03 TAKE 06:39 FILTER 09:48 Masterclass 10:36 TEXTSPLIT 14:55 TEXTJOIN 15:16 CONCAT 17:25 DATEDIF 19:22 Conclusions ⚡️Just stating with Python...
Data Science Portfolio Project - Churn prediction model
Просмотров 2 тыс.21 день назад
In this video tutorial we will do a machine learning project. We will build churn prediction model with Python using bank data. We will apply several algorithms (Random Forest, Logistic Regression, Support Vector Machines, KNN, Gradient Boosting Classifier) and compare their results. Data used in the video - www.kaggle.com/datasets/shrutimechlearn/churn-modelling/data 🎁 Access freebies at stan....
How To Make Beautiful Line Charts Using Matplotlib in Python
Просмотров 35921 день назад
In this video tutorial, you will learn how to make multiple line graph in Python using Matplotlib. You will learn how to filter and group data, interpolate missing data, change colours of the lines, add round markers, add titles, headers and footers Link to the website: ourworldindata.org/ 🎁 Access freebies at stan.store/KarinaDataScientist ⚡️Just stating with Python? Learn how to clean and man...
Why Polars is better than Pandas?
Просмотров 71528 дней назад
In this Python tutorial, we will compare Polars and Pandas, two popular data manipulation libraries. If you are Python beginner - this tutorial will be beneficial for you, as we will look at how to import, install libraries, read files, select columns, filter rows and group data. Polars documentation - docs.pola.rs/#example Resource to learn more about Polars - kevinheavey.github.io/modern-pola...
How I'd become a Data Analyst if I had to start today
Просмотров 1,9 тыс.Месяц назад
How I'd become a Data Analyst if I had to start today
Data Analysis Project in Excel (Beginner to Intermediate)
Просмотров 2,6 тыс.Месяц назад
Data Analysis Project in Excel (Beginner to Intermediate)
Data Analytics Portfolio Project - Coffee Sales
Просмотров 4,1 тыс.Месяц назад
Data Analytics Portfolio Project - Coffee Sales
Data Science Portfolio Project - K-means
Просмотров 1,9 тыс.2 месяца назад
Data Science Portfolio Project - K-means
Monte Carlo Simulation (Predict NVIDIA Share Price)
Просмотров 4822 месяца назад
Monte Carlo Simulation (Predict NVIDIA Share Price)
Data Scientist Portfolio Project - Logistic Regression (Beginners to Intermediate)
Просмотров 7512 месяца назад
Data Scientist Portfolio Project - Logistic Regression (Beginners to Intermediate)
Data Analyst Portfolio Project (Beginners to Intermediate)
Просмотров 9783 месяца назад
Data Analyst Portfolio Project (Beginners to Intermediate)
Solve Mystery with Stats: Correlation Coefficient
Просмотров 1283 месяца назад
Solve Mystery with Stats: Correlation Coefficient
Great explanation❤
Thank you
Awesome
Thank you
I came across this channel randomly and realised what a hidden gem you are. Your content helps a lot, thank you Karina!
That's very lovely. Thank you for your kind words and support
Awesome content, Katrina! Keep up the good work. Do you have a video about how you transitioned to data science and how you would learn it if you could start over? Thank you.
very good😁
Thank you!
Thanks 👍
Thank you for watching and supporting me
loops video thank you
Coming soon. Already filmed it, now need to edit :)
Nice. But if u want to use profiling from pandas ? Is there something similar in polar?
I don't think they have it at the moment. So what you can do, is to convert polars to pandas with df.to_pandas() and then do ProfileReport
@@karinadatascientist thanks. Do you Know a more efficient profiling like profilingReport ? For Huge amount of data
Thank you
Thank you for watching
Can you share some inputs on pytorch and usage?
I will look into it and make a video. Thank you for content idea
Underrated yt channel. You deserve more subscribers
Thank you! It will happen one day, I am sure
Nice explanation 👌
Thank you 🙂
@@karinadatascientist You are most welcome 🙂
I'm from Thailand and like your videos.😄
Awesome! Thank you!
Thank you so much for sharing this ❤️
Thank you for watching!
SALUDOS DESDE CDMX
👋 Saludos
TENGO DISCAPACIDAD Y MANEJO INGLES AL 100 POR CIENTO SALUDOS DESDE CDMX
👋 Saludos
waiting for more videos like this mam very good explanation 😊😊
Glad to hear that. Thank you for your feedback
Amazing explanation
Thank you
Great!!!
Thank you
Thanks for Sharing ❤ Love your videos. Love form India 🇮🇳
Hello! I've visited your beautiful country in March 2020. Had to cut short the trip as COVID hit and the borders started closing down. Thank you for watching my videos
Wow Great 👌. Please do visit again to India 🇮🇳 .You are always welcome to India 🇮🇳
I also worked on this project. I removed the flavors as it is the addon of the coffee. also I removed the coffee shots, as I cannot tell it is one shot for a cup or multiple shots for one cup
" I removed the coffee shots, as I cannot tell it is one shot for a cup or multiple shots for one cup" - this is very clever. If we had breakdown as it is in receipts and usually internal system have those details, we could know how many shots per cup. but this is Kaggle data, so we have what we have
thank you
thank you!
This will be super useful to me, thank you so much ❤
glad to hear that! thank you for your comment
Hello Karina, you're amazing! Could you please create a comprehensive and distinctive project for data scientists to help them land their first job? We really need this.
thank you. Ok, let me find good dataset and create another project. However, churn model, logistic regression and k-means that I did before are good for your resume, you just need to find a more complicated data set, create good README file and you can add it to your GitHub
Excellent Analysis, thank you. Please make videos on AB Testing analysis and case studies,thank you
thank you for the content idea 🙏
Thank you for sharing
:) Thank you for watching
42 is the answer to the ultimate question about life, the universe and everything. you need to read the hitchhickers guide to the galaxy. or at least watch the movie. =)
Thank you! Now finally someone explained to me why 42
Wow, this is such a good content, loved the choropleth graph! Perfect for visualizing data realted to country and visually also its very good! This is also very insightful about what we are actually trying to look into with the data.
Thank you so much for you comment! Glad to hear that this video is useful
🎁 Want to access Summary report for this project and other freebies -> stan.store/KarinaDataScientist
Hi Karina I really go through with your video's it's really helping a lot. Can you please make a video on for loop, while loop, loop in if elif statement , and loop/ while loop break and continue..
Sure, sounds great! Thank you for content idea
Thank you
Thank you
thank you for watching
Cool
🙂
good
thank you
Example was super easy to understand ❤
Thank you so much for your feedback
😂 easy way to review for my machine learning exam thanks a lot for sharing 🎉
glad to hear that. Good luck with the exam
All fine, except that low kurtosis does not indicate a flatter peak, and high kurtosis does not indicate a sharper peak.
well, kurtosis is about tails not peaks, so I agree with that. But platykurtic distribution has a flatter and wider peak than normal distribution
Not true. Consider the beta(.5,1) distribution.
@@peterwestfall6924 ok, this distribution has a relatively flat peak near 0 and a longer tail, so it has a flatter peak and a skewed shape compared to the sharp, symmetrical peak of the normal distribution.
@@karinadatascientist No, it is not flat, it is infinitely peaked.
Great video. I was messing around with this dataset for the last few days and got some great ideas from your analysis. Thank you
That's so cool, thank you for your comment. I am glad to hear that my videos become some motivation or idea for a data project!
I discovered and used the UNIQUE function on my owm recently but this great
UNIQUE is a good one!
Lovely and very insightful
You misspelled Tidyverse 😊
:) surely not
"You're doing an amazing job! Keep up the great work!"
thank you for your support!
Thanks for the great work you are doing, Karina. This is a valuable skill you are sharing, especially for some of us who reside in resource constraint countries. I have learnt a lot, and I am glad to inform you that I have replicated the model. Thank you 😊 🎉🎉
Thank you so much for your feedback and kind words. And also, I am so happy you replicated the model, that's so cool! How exciting!!!!🎉🎉🎉
@@karinadatascientist you are welcome 😊.
great video! I learned some new functions that will forsure help me at my daily work as data analyst.
I am so happy to hear that. Thank you for your feedback
Great 👍 🎉
Thank you!
perfect 🤩
:) thank you
❤
Could you do a walkthrough video of how to carry out an ensemble approach.
Sure
Insightful information 👏
Thank you. Glad to hear that
Awesome. Thanks 👍
Thank you for watching