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Data Science Demonstrated
เข้าร่วมเมื่อ 26 เม.ย. 2012
Instantly see value of AI and data science through real-world demos. You will get the answer to "WHY" AI and Data science through practical examples. All videos are code-free , so that you can understand the value. You can also try out the demo on my platform experiencedatascience.com, with your data.
Analyse the pattern of an iconic speech and then use it to make your own speech iconic !
Analyzing Iconic Speeches with AI: Understand the pattern and then use it to make your speech iconic. In this video, you will see a demo of analysing Steeve job iphone launch speech
You can try out the demo at experiencedatascience.com
You can try out the demo at experiencedatascience.com
มุมมอง: 47
วีดีโอ
Amazing speech to text using Open.AI Whisper: Use-cases and DEMO
มุมมอง 6719 วันที่ผ่านมา
See an exciting demo of speech to text conversion . You can try out the demo at experiencedatascience.com
See fascinating demo for e-commerce: Generate AI-Images from product description
มุมมอง 12727 วันที่ผ่านมา
Text-to-image generation leverages advanced artificial intelligence to create visually rich, contextually relevant imagery from simple textual descriptions. See a demo on how to convert product description to images which can be very useful in e-commerce and fashion industry Try out the demo at experiencedatascience.com
How to create data stories with DATA + MUSIC + VIDEO !!!
มุมมอง 93หลายเดือนก่อน
Step into the future of data story with Generative AI. In this video I will show you how a 100% AI generated data story which used AI generated music, video, images and analysis. The following tools are used Hugging face:huggingface.co/ OpenAI SORA: openai.com/index/sora/ ChatGPT: chatgpt.com/ Experience data science: experiencedatascience.com The Kaggle space titanic problem is described here ...
Does Generative AI means end of traditional machine learning ?
มุมมอง 243หลายเดือนก่อน
Generative AI is fast changing everything including how we do machine learning. The new way of doing machine learning will definitely help boost data science productivity In this video I will comparision traditional machine learning vs Generative AI This video will provide key insights into the future direction of AI and help you prepare for what's coming Try out a demo on sentiment analysis on...
EPIC! Thank you for 100K Views ! Watch the 100K Race !
มุมมอง 61หลายเดือนก่อน
I would like to thank all my subscribers and viewers for making my channel reach 100K View In this video, you will see an animated Racing Bachart which will show which are the top videos which contributed to 100K. The race is tight ! If you are interested in making racing barchart without coding, you can do it on my platform experiencedatascience.com Top video to win the epic race -Dynamic Pric...
Dynamic Pricing with Generative AI : A radically innovative approach !
มุมมอง 6342 หลายเดือนก่อน
Dynamic pricing is nowadays used in many applications such as booking a taxi, or booking a hotel or selling online products. In dynamic pricing, the price is not fixed, but determined in various factors. See how to use Generative AI for dynamic pricing. Try out the demo at experiencedatascience.com Also see Dynamic Pricing with Machine learning - th-cam.com/video/ZtWzEbytBkI/w-d-xo.htmlfeature=...
Cricket commentary analytics with Generative AI - A must watch for cricketing fans!
มุมมอง 4032 หลายเดือนก่อน
Immerse yourself into cricket sports moments by analzing commentary data using Generative AI ! Try out the demo at experiencedatascience.com. !
Time Series Missing Value Prediction - A visual demo
มุมมอง 512 หลายเดือนก่อน
All data suffer from missing values and time series data is no exception. In this experience, you will see how to replace missing values in time series data using the very useful key nearest neighbor algorithm Try out the demo - experiencedatascience.com 00:00 Inttroduction 00:40 Missing data 02:54 Line chart analysis 03:38 Missing value analysis 04:18 KNN
Machine learning tactic - See it in action with a demo
มุมมอง 652 หลายเดือนก่อน
Tactic , is sequence of actions, aiming to achieve a certain goal. It can help deciding an approach to a solve machine learning problem and avoid to directly jump to algorithms. See it in action by solving famous data science problem of spaceship titanic Try out the demo at - experiencedatascience.com 00:00 Introduction 01:09 The Problem 01:51 Data Exploration 06:16 Tactic to solve the problem ...
Hierarchical Clustering is more than just visuals - See a very practical python demo
มุมมอง 1233 หลายเดือนก่อน
See a very practical demo of Hierarchical Clustering in python You can try out the demo and get the code at experiencedatascience.com You will find the Hierarchical Clustering experience on first page of the website or see all experiences-Data science and data analysis
5 Reasons why Hierarchical Clustering is awesome !
มุมมอง 1664 หลายเดือนก่อน
Discover the 5 Reasons why Hierarchical Clustering is awesome ! Demo available at experiencedatascience.com
Create powerful Knowledge Graph from Text Data
มุมมอง 1214 หลายเดือนก่อน
Create powerful Knowledge Graph from Text Data. Try out the demo at experiencedatascience.com
Q&A with Text Data: A fascinating Gen AI Demo
มุมมอง 1244 หลายเดือนก่อน
Q&A with Text Data is a very useful and practical application of Gen AI. See a no-code demo in this video. You can also try out the demo with your own data on my platform: experiencedatascience.com
Create powerful machine learning models with these golden rules
มุมมอง 765 หลายเดือนก่อน
Learn about data preparation golden rules which can lead to powerful machine learning models. You can also try out the demo at experiencedatascience.com 00:00 Introduction 00:47 Data 01:24 Model without the data prep 01:48 Data prep and golden rules 04:19 Improved model 04:47 Try out the demo
Is it free to use whisper?
Hi, The Whisper API is not free . However it’s does a very good job, so it’s worth
Interesting demo but forgive me I isn’t it just a fancy “look up” table ? I mean the predicted price is just checking if a descriptor is im a table or not and then applying a price accordingly? Apologies if I’ve missed the insight here. Appreciate any clarification cheers
Hi, Thanks for your comment. The look up table technique does not work as the items which are put in sale have a description which is given by a seller in free-form. Every item description is generally unique even if it’s the an identical product. Also sellers put many specific things and personalize the description. So the exact description in not available in past sales . Hence it’s required to use a LLM approach Hope this helps . Thanks for watching my channel
@@DataScienceDemonstrated yes thanks - i missed that point....i'd better watch the video in full :)
Very informative
amazing. its super helpful video.please upload more more video like this.
I can see using LLMs to establish better embeddings to run the traditional pricing algo's (time-series, regression, decision-trees off), but it's not going to give you optimised elasticities on its own. Unless I'm grossly mistaken.
Good point. LLM approach is useful when price depends on text description, which is relevant for market place scenarios
This is Epic !
Very innovative indeed ! Thanks for creating this video
awesome different customer analysis and visuals explained and also very efficient way explained
Very good sir
What is your favorite Generative AI technique to analyze sporting moments ?
This is great ! Now I am getting interested in cricket !
Can you share the source code to. how to build a smart pricing model. because there is no video can be found in the youtube =.
source code of the project
Fantastic. This is great presentation that helps learners.
Best customer analytics video ever
the parameters of openAI model could be way higher than open-source bert model makes this comparison not apples to apples in a way.
Excellent useful
Really fascinating !
Nicely explained !
Very well explained! Thank you and keep it coming:)
Great video!
Hi, I can't fin this project on your website, could you help me?
Hi, once you are on my website (experiencedatascience.com/), please login. Once you are logged in, go to See All Experiences. Then select Data science and data analysis. Then you will see the "Health Activity Analysis" which corresponds to the project in the video. Let me know for any questions. Thanks
very interesting can you share github code
Thank you!🎉
Very cool
Awesome!
Promo`SM
Good job!
Awesome !
Nice !
Good job I liked the demonstration, I think you should further explain the hyperparameter tuning in dbscan because it can drastically change the results
Thanks and nice suggestion
Hi sir, I didn't really understand the cluster analysis - what are the different colours, what is the trend, what do the different colours represent? Thank you!
Hi, the cluster groups similar reviews together. The colors signify reviews of similar products. For example at 1:51, the red cluster on top left of the screen is related to dog food
I love your videos! Thank you for making these 🙏
Thanks
Excellent explanation! Thanks
Please try to enhance your audio quality.
Will do . Thanks for the feedback
I can't find the example on your website.
Hi, Let me check. In the meantime, you can also do same analytics as follows - 1. Use menu Datasets-Play Datasets to copy taxi_data_porto_location dataset. 2. Then select Datasets-Your Datasets, select the taxi_data_porto_location, and select Analytics. You will see all analytics including histogram, boxplot, geolocation etc..
And How can we optimize this price ?
Hi, you will need demand data , which can be as an input feature to your model. The output price is optimized based on the demand
Awesome 🎉
Thanks 🤗
Thanks for the video. In the 2-dimensional plot, we have reduced the 1540 vectors to a 2-d in-order to be able to plot them. Which algorithm did you for this reduction? t-SNE, UMAP, or some other algorithm.
Hi , it is TSNE
Can you please specify how you made the plots, specifically radarplot or give its source code?
Hi, I used Javascript library ECharts. See this link echarts.apache.org/examples/en/index.html#chart-type-radar
I would be curious to know which model you used.
Hi, I have put the model names in the description of the video
@@DataScienceDemonstrated I don't see any models mentioned in the description. I would be expecting gpt-4, gpt-3.5-turbo or any other models OpenAI provide. It would also be great to add the prompt used to get the sentiment.
@@cyrilgorrieriIt’s gpt 3.5 turbo
Which models did you use?
Hi, I have put the models in the description of the video
Can u please upload part 2
Nice explanation
hi, thank you for the vivid explanation. may i ask a question: which software are you using to group different product items into clusters, and then visualize those clusters with color on the x,y coordinate?
Thanks! I have created my own platform , which is based on Python and JavaScript visualization libraries. You can access it here : experiencedatascience.com . You will be able to make similar clustering and visual as I have shown, without coding. Hope you enjoy it
concisely lightening
That's amazing; would've been beneficial to also show us *how* the results were achieved.
Great you liked it and thanks for the feedback. You can try to see my medium blog link, which has technical implementation of similar sentiment analysis , but with hugging face models .
Nicely explained ! Thank you
Thank you. It is a very useful video. You have explained the concepts in a very efficient way. It is best !
Nice visuals !