- 16
- 92 143
Actionable Data Science
Приєднався 27 вер 2020
It seems, these days, anybody can analyze data. The trick is to come up with insights that are actionable. It means that your results are useful for immediate decision-making that will lead to some sort of a value.
In this channel, I am going share original training content on data analytics and real-life cases from within industry and academic research.
I hope you will benefit from what you see here.
Stay actionable, stay hands-on!
In this channel, I am going share original training content on data analytics and real-life cases from within industry and academic research.
I hope you will benefit from what you see here.
Stay actionable, stay hands-on!
K-Means Clustering with Rapidminer.
In this video, I show you how to apply k-Means Clustering with Rapidminer.
Переглядів: 10 907
Відео
DBSCAN Clustering with Rapidminer
Переглядів 5 тис.4 роки тому
In this video, I show you how to apply DBSCAN Clustering with Rapidminer.
Polynomial Regression with Rapidminer
Переглядів 2,9 тис.4 роки тому
In this video, I show you how to apply Polynomial Regression with Rapidminer.
Dealing with class imbalance by downsampling with Rapidminer
Переглядів 3,8 тис.4 роки тому
There are many ways to deal with class imbalance. In this video, I show you how to down-sample the majority class in your data to achieve a balanced dataset with Rapidminer.
Naive Bayes with Rapidminer
Переглядів 7 тис.4 роки тому
In this video, I show you how to apply Naive Bayes; a probabilistic classifier, with Rapidminer.
K-Nearest Neighbors (KNN) with Rapidminer
Переглядів 9 тис.4 роки тому
In this video, I show you how to apply K-Nearest Neighbors (KNN) classification algorithm with Rapidminer.
Logistic Regression with Rapidminer
Переглядів 7 тис.4 роки тому
In this video, I show how to apply Logistic Regression with Rapidminer.
Linear regression with Rapidminer
Переглядів 7 тис.4 роки тому
In this video, I show how to apply Linear Regression with Rapidminer.
Cost Performance Analysis with Rapidminer
Переглядів 1,3 тис.4 роки тому
All classification models make mistakes. However, not all mistakes cost the same. Cost Performance Analysis allows you to assign costs for each type of error made by classifiers, and therefore, calculate an overall cost of using a particular classification model. In this video, I show you how to apply Cost Performance Analysis with Rapidminer.
Decision Trees with Rapidminer
Переглядів 11 тис.4 роки тому
In this video, I show how to apply Decision Trees with Rapidminer. Additionally, the video also covers how to check the Information Gain for different data attributes.
Removing correlating attributes with Rapidminer
Переглядів 1,4 тис.4 роки тому
In this video, I show how a particular way of dimensionality reduction can be applied with Rapidminer; removing correlating attributes.
Discretization with Rapidminer
Переглядів 2,7 тис.4 роки тому
In this video, I simply show how to apply discretization by binning with Rapidminer.
Feature scaling with Rapidminer
Переглядів 1,4 тис.4 роки тому
In this video, I show how to apply two feature scaling methods with Rapidminer, namely, normalization and standardization.
Principal Component Analysis with Rapidminer
Переглядів 3,2 тис.4 роки тому
In this video, I cover one of the most common dimensionality reduction techniques; Principal Component Analysis (PCA), using Rapidminer.
Replace missing values with Rapidminer
Переглядів 8 тис.4 роки тому
In this video, I show how to replace missing values with Rapidminer.
Remove missing values with Rapidminer
Переглядів 11 тис.4 роки тому
Remove missing values with Rapidminer
I understand that most important for optimization is K, but I can not find the working optimization scheme. is there some trick to it?
Thank you for this film, it helped me pass my course at university. Wishing you all the best!
These videos are so good! I'm sad that I missed the time when this channel was active. It's crazy that tons of the videos have 10K plus views, and only 661 subs. Ridiculous. Thanks though, these are immensely helpful!
2 years later and You are still helping Data Analyst Students. God Bless your soul
iya abe sağ olasın
hi Deniz, many thanks for the clear explanations!
Where can I find your CSV files?
How do you turn these results into a linear equation?
Do you get the way to make the regression equation??
can i have the link for the dataset
ntaps
SVM Algorithm how can we apply by this tool?
Such as Master! You are brilliant! Thank you so much, you are clear and straight on every step.
I always look for your videos, but you almost never do any meaningful data preparation which for many is the most confusing step that prompts the most errors that prevent running the process. Bummer.
tesekkurler deniz abi
can you share the Mouscomma dataset
Thank you from Thailand .
Thank You..
Hi. thank you for your great video. how can i classify new data? i mean, i have a simple dataset and i have a new record of them and i want to determine class of new record. it was not in your video i guess. would you help me ?
can we split data in this.?
It's great. Can I Random forest by 19 criteria and one row?
Thank you for your helpful instruction. I've been struggling with this for months. Greeting from Vietnam
thx sir
Very helpful
This is very helpful and helped me finish my school assignment just in time few hours before the deadline, thank you very much for your help and keep the great work up
Thank you so much I was really struggling with this one 🌹🌹🌹
Hi Deniz , this is only for the binomial data type ?
Thanks
Sir All the videos are useful, it will be better understanding if you share the dataset source we can try our own. Thank you
so accurately told every thing .. exactly what to be told
Thank you!
Hmm I'm a long time LabVIEW programmer at the Physics Lab at the university and while a Test and Systems Development Engineer brings back those memories now that I do a lot of data science stuff this graphical programming in Rapid Miner looks very good.
How to get the dataset you are using in your videos? Possible to add dataset link in the video description?
Hi Deniz, is there any chance to increase the performance of regression model?
Most of the time, it is possible. I would first try different algorithms that are more suitable for the problem. Cleaning the labeled data can also help a lot.
anlatım çok güzel, teşekkürler. Ancak ilk data yükleme kısmını hızlıca geçmemeniz daha iyi olur, o kısımlarda anlatılacak birtakım şeyler olabilir.
Dogru. Bu videolari universitede verdigim bir dersi desteklemek icin hazirlamistim. Ileride kendi basina anlamli olacak videolar da yuklemeyi planliyorum. Tesekkur ederim.
This is very helpful. Thank you
I am glad that you found it useful! You are very welcome.
great explanation , thank you .
Thanks! You are welcome.
Thank for the video. Could you please cover the data processing part with Rapidminer before doing the PCA?