S.M.D.S
S.M.D.S
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KAGGLE Competition: Advanced Regression Techniques (END-TO-END)
Join us as we dive into the Kaggle competition: Advanced Regression Techniques! This comprehensive tutorial will guide you through the entire process, from data exploration to model building and submission, ensuring you gain a deep understanding of regression techniques and how to apply them to real-world datasets.
🔍 **Competition Overview:**
The Advanced Regression Techniques competition challenges participants to predict the sale prices of homes based on various features. This competition is perfect for those looking to enhance their regression modeling skills and gain practical experience in data science.
🚀 **Key Highlights:**
- Understanding the competition and its objectives
- Exploring and analyzing the provided dataset
- Data preprocessing and cleaning techniques
- Feature engineering to improve model performance
- Selecting and evaluating regression models
- Hyperparameter tuning for optimal results
- Generating predictions and preparing submissions for the Kaggle leaderboard
🔗 **Links Mentioned in the Video:**
- Kaggle Competition: www.kaggle.com/competitions/house-prices-advanced-regression-techniques
- GitHub Repository: github.com/MaizeCobra/Kaggle-Competitions/tree/main/Advanced_Regression%20-%20%20Workspace
🎯 **Why Participate in This Project?**
This project offers a hands-on learning experience for both beginners and intermediate data scientists. By following along with the tutorial, you'll develop practical skills in data manipulation, feature engineering, and model evaluation, which are essential for tackling real-world data science problems.
💡 **What You'll Learn:**
- Practical data science techniques applicable to various projects
- How to handle and preprocess competition datasets effectively
- Best practices for feature engineering and model selection
- Strategies for improving model performance through hyperparameter tuning
- Insights into submitting predictions and understanding leaderboard dynamics
👩‍💻 **Get Started:**
Join us on this Kaggle competition journey and gain the confidence to tackle data science challenges head-on. The provided links will lead you to the competition page and the GitHub repository containing the project code and resources.
👍 **Don't forget to like, share, and subscribe for more data science tutorials and project guides!**
#KaggleCompetition #AdvancedRegressionTechniques #DataScience #MachineLearning #BeginnerProject #DataScienceProject #KaggleTutorial #DataExploration #ModelBuilding #FeatureEngineering #HyperparameterTuning #KaggleJourney #GitHub #CodingTutorial
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ความคิดเห็น

  • @rebazgarde2620
    @rebazgarde2620 2 ชั่วโมงที่ผ่านมา

    omg this is video useful thanks for make video

    • @SMDS_Studio
      @SMDS_Studio 2 ชั่วโมงที่ผ่านมา

      You're welcome!

  • @MrEdavid4108
    @MrEdavid4108 3 วันที่ผ่านมา

    This is great work and very interesting. I did notice though when the predicted graph was created its too small, making the X axis' values run into one another, which makes the graph inaccurate. Is there a way to make the graph bigger? I tried various MatPlotLib functions such as set_figwidth, tight, and others but nothing will make the graph larger. Thank you!

    • @SMDS_Studio
      @SMDS_Studio 14 ชั่วโมงที่ผ่านมา

      Sure there is, You can actually tilt the words by an angle, giving it more room for existance. Additionally, I am sure there is a function to only display xvalues at regular intervals I recommend you check on google or directly ask chatgpt

  • @saadAhmed-co1si
    @saadAhmed-co1si 14 วันที่ผ่านมา

    we need alot of Solve Competition Kaggle

    • @SMDS_Studio
      @SMDS_Studio 14 วันที่ผ่านมา

      Sure! Will be posting a lot near future

  • @HiltonFernandes
    @HiltonFernandes 23 วันที่ผ่านมา

    Congratulations for your excellent video. Never heard about neuralprophet library, and will give it a try. Thank you !

    • @SMDS_Studio
      @SMDS_Studio 22 วันที่ผ่านมา

      Glad it was helpful!

  • @hamzah7719
    @hamzah7719 25 วันที่ผ่านมา

    Thank you very interesting.

  • @thinhphamthe7033
    @thinhphamthe7033 หลายเดือนก่อน

    I want to add the holidays dataframe and include a few regressors for the model. Do you know how to add them??

  • @Just_Everything_
    @Just_Everything_ หลายเดือนก่อน

    brother i want to build the same project but i want to provide my data set in csv format is it possible and if it is possible what changes should i make?

  • @milanfanas
    @milanfanas หลายเดือนก่อน

    You are using KNNimputer on train and test concat dataframe, this is surely suffering from data leakage.

  • @trendsculture
    @trendsculture 2 หลายเดือนก่อน

    Can we do it to predict winning lottery number

    • @SMDS_Studio
      @SMDS_Studio 2 หลายเดือนก่อน

      It might not be very accurate As you know lottery is very very very vague

    • @trendsculture
      @trendsculture หลายเดือนก่อน

      @@SMDS_Studioyes i know but if we had excell sheet with all numbers 99 results can we predict the next winning lottery winning numbers with machine learning or data analysis or some AI statistics or mathematics !? Can we try it bro just for fun I will send you the excel!?

  • @udhayaranijeeva3568
    @udhayaranijeeva3568 3 หลายเดือนก่อน

    Could you please assist me in resolving this issue below? I'm attempting to load the neuralprophet trained model from a different device.encountering a"Error": "[WinError 5] Access is denied:'model trained directory name ' " on model.predict(df) line. How do I figure this out...?

    • @SMDS_Studio
      @SMDS_Studio 3 หลายเดือนก่อน

      Are you enccountering this in google collab?

  • @matross3097
    @matross3097 3 หลายเดือนก่อน

    I have a Question: Why did you create a grand df with all the genre information when you are only going to use userId, movieId, rating from the dataframe ? data = Dataset.load_from_df(train_df[['userId' , 'movieId', 'rating']], reader)

  • @hey.Sourin
    @hey.Sourin 3 หลายเดือนก่อน

    Hey, are kaggle competitions still relevant these days?

    • @SMDS_Studio
      @SMDS_Studio 3 หลายเดือนก่อน

      They are! Infact, I would say, if you're able to master this element(kaggle competitions) alone to the lastest trends, you will have an overwhelming advantage in the market...

    • @hey.Sourin
      @hey.Sourin 3 หลายเดือนก่อน

      @@SMDS_Studio Can you make a guide video, how to start kaggle competitoins and all ? It would be really helpful!!!!!!!!!!

    • @SMDS_Studio
      @SMDS_Studio 3 หลายเดือนก่อน

      Really sorry for the delayed response. Sure, it isnt really any complicated but since you asked for it We will produce a full walk-through tutorial

    • @hey.Sourin
      @hey.Sourin 3 หลายเดือนก่อน

      @@SMDS_Studio Yes, please. Thank you!

  • @todorp4056
    @todorp4056 3 หลายเดือนก่อน

    great video, but bad music

    • @SMDS_Studio
      @SMDS_Studio 3 หลายเดือนก่อน

      Well we just noticed that section, and we managed to remove that part alone. Thanks for letting us know!

  • @GayathiriA.S-yj1wo
    @GayathiriA.S-yj1wo 3 หลายเดือนก่อน

    Wow very nice explanation🎉

    • @SMDS_Studio
      @SMDS_Studio 3 หลายเดือนก่อน

      Well, I aim to please! Happy to hear you enjoyed the explanation.

  • @JesúsLópezLópez-u6q
    @JesúsLópezLópez-u6q 4 หลายเดือนก่อน

    will this work for binary rating? For instance: Like = 1, Dislike = 0, or "have this product" = 1, "doesn't have this product" = 0?

  • @pumkinegro2167
    @pumkinegro2167 4 หลายเดือนก่อน

    Does the genres of the movies affect the predictions?

    • @SMDS_Studio
      @SMDS_Studio 4 หลายเดือนก่อน

      It very well might, you could consider this as an indicator out of 100 indicators before making a suggestion to the user. Also I really do like Gnar

    • @fidha254
      @fidha254 3 หลายเดือนก่อน

      I stand corrected but I think the genres become relevant if you decide you wanted content-based filtering as opposed to collaborative (users) filtering. Collaborative you only need movieID, UserID and Rating as far as I know.

  • @AkashhDesaii
    @AkashhDesaii 6 หลายเดือนก่อน

    Once token finish pay karna padega ? Or free he

    • @SMDS_Studio
      @SMDS_Studio 6 หลายเดือนก่อน

      Gemini API is free

  • @AkashhDesaii
    @AkashhDesaii 6 หลายเดือนก่อน

    Api key free he? Matalab openai jaise token per he ?

  • @gabrielpawlowski127
    @gabrielpawlowski127 6 หลายเดือนก่อน

    im using vs code and its saying the file name cant be found

    • @SMDS_Studio
      @SMDS_Studio 6 หลายเดือนก่อน

      Ig the file might on which you have written your code might not have been saved

  • @noahlam5415
    @noahlam5415 7 หลายเดือนก่อน

    I’m confused on what data the model is using to predict the “actual prediction”. If it is predicting the only dataset that you gave it, what is it using to make those predictions

    • @SMDS_Studio
      @SMDS_Studio 7 หลายเดือนก่อน

      I have split the dataset such that I am only providing 80 percent of the actual data and the rest 20 is what the machine hasn't seen yet and we make it predict on these dates and compare with the actual values

    • @noahlam5415
      @noahlam5415 7 หลายเดือนก่อน

      @@SMDS_Studiowhere exactly are you splitting it into 80 and 20 because i dont see that in the code. Is that what the model.fit() does for you?

    • @SMDS_Studio
      @SMDS_Studio 7 หลายเดือนก่อน

      If you have a look closely, I have removed the recent 20 percent dates and provided only the first 80 percent Using slicing

    • @noahlam5415
      @noahlam5415 7 หลายเดือนก่อน

      @@SMDS_Studiowhere do you do that at? I’m not seeing it in the code. Unless that is what model.fit(Stocks) does?

  • @EasternandWestern012
    @EasternandWestern012 7 หลายเดือนก่อน

    First like dala ❤

    • @SMDS_Studio
      @SMDS_Studio 7 หลายเดือนก่อน

      Surely 😄

  • @nicholasfriedrich4549
    @nicholasfriedrich4549 7 หลายเดือนก่อน

    Two questions: 1. You trained the model on the training data, then used it to predict the training data, so naturally it will look accurate. What was the idea or purpose behind this? I am genuinely just curious to see if I am missing something 2. The model forecasts for weekends too and Saturday and Sunday are included in time series. Naturally, stock's do not trade on weekends. Can this be adapted in the model? Perhaps the model can only identify existing trends?

    • @SMDS_Studio
      @SMDS_Studio 7 หลายเดือนก่อน

      Let's answer this 1 by 1 1.) So I took the first 80 percent of the data and gave it to the model for training. Now it doesn't know anything about the rest 20 percent. Then I made predictions with the model for the duration of which we know the actual values but then the model doesn't Then I plotted both actual and predicted values to compare 2.) Here, I just use the forecast function which will give predictions continuously for the mentioned days So this goes to say, that the project itself is just a demonstration of how the prophet model Where as when it comes to real world stocks project, there are many other factors we have to consider for modeling We have planned a sequel video on that....soon

    • @joelknapp9112
      @joelknapp9112 4 หลายเดือนก่อน

      @@SMDS_Studio this helped me a lot with time series forecasting. I'm curious when you split the model 80/20 though? I don't see that step in the video. Thanks for helping me out!

  • @dhanushranga1
    @dhanushranga1 8 หลายเดือนก่อน

    Interesting question here, can u analyse volume patterns to predict pump and dump schemes.

    • @SMDS_Studio
      @SMDS_Studio 8 หลายเดือนก่อน

      Ig you could try to use FBPROPHET for that but I am not really sure Although, it might work..

  • @nicowalsen
    @nicowalsen 8 หลายเดือนก่อน

    Very consice, thank you a lot!

    • @SMDS_Studio
      @SMDS_Studio 8 หลายเดือนก่อน

      Glad it was helpful!

  • @ellyJPEG
    @ellyJPEG 8 หลายเดือนก่อน

    This is a great tutorial thank you!

    • @SMDS_Studio
      @SMDS_Studio 8 หลายเดือนก่อน

      Surely! So glad you like it 😊

  • @mohammedsaleh-ck8jf
    @mohammedsaleh-ck8jf 8 หลายเดือนก่อน

    thanks bro 👋

    • @SMDS_Studio
      @SMDS_Studio 8 หลายเดือนก่อน

      Welcome 👍

  • @jdgcreative
    @jdgcreative 8 หลายเดือนก่อน

    How useful is it in the stock market

    • @bmrahma7194
      @bmrahma7194 หลายเดือนก่อน

      Same question

  • @ikkeik6075
    @ikkeik6075 8 หลายเดือนก่อน

    Great.

    • @SMDS_Studio
      @SMDS_Studio 8 หลายเดือนก่อน

      Appreciate your response 😃. Thanks!!

  • @rakshithr7255
    @rakshithr7255 8 หลายเดือนก่อน

    Nice video!!! Is it possible to do text-to-speech with different voices similarly?

    • @SMDS_Studio
      @SMDS_Studio 8 หลายเดือนก่อน

      I guess so, there are many pretrained models which you can fine tune to get anime voices In fact, right as you open colab, you will be able to see a google text to speech project code with google Gemini

  • @MrHarsha8
    @MrHarsha8 8 หลายเดือนก่อน

    subscribed..

    • @SMDS_Studio
      @SMDS_Studio 8 หลายเดือนก่อน

      Amazing! Ty 😊

  • @justinnacu
    @justinnacu 8 หลายเดือนก่อน

    Great video bro! Subscribed!

    • @SMDS_Studio
      @SMDS_Studio 8 หลายเดือนก่อน

      Awesome! Thank you!

  • @Seeker_of_sense
    @Seeker_of_sense 8 หลายเดือนก่อน

    Highly interesting! Does this work in real ime, i.e. can it detect anomalies as they occur or can you only idntify anomalies after they occured?

    • @SMDS_Studio
      @SMDS_Studio 8 หลายเดือนก่อน

      Interesting question, so the model will first be able to identify the values at which the result turns out to be an anomaly and ig it should be able to predict those "values" and that specific state....although we will have to try it out with data

  • @TradeNvesteasy
    @TradeNvesteasy 8 หลายเดือนก่อน

    That's awesome 🎉

    • @SMDS_Studio
      @SMDS_Studio 8 หลายเดือนก่อน

      I value your acknowledgement ;) In fact, I believe you would like our latest video as well Here's the link:- th-cam.com/video/FP10wx_yP3A/w-d-xo.html

  • @tzu4265
    @tzu4265 8 หลายเดือนก่อน

    Awesomes videos mate! Please keep them coming :D

    • @SMDS_Studio
      @SMDS_Studio 8 หลายเดือนก่อน

      More to come! Definitely! So glad you like it

  • @block_hacks
    @block_hacks 8 หลายเดือนก่อน

    can you try this for bitcoin please

    • @SMDS_Studio
      @SMDS_Studio 8 หลายเดือนก่อน

      As I mentioned in the video, the model itself is very unreliable and by no means this would be a financial advice Ofc you can use the bitcoin data to see predictions but again I wanna say that this is just a representation of how a prophet model works

  • @madhuragrawal22
    @madhuragrawal22 9 หลายเดือนก่อน

    Best video ❤

    • @SMDS_Studio
      @SMDS_Studio 9 หลายเดือนก่อน

      So nice to get the acknowledgement! We would be much much delighted if you decide to spend more time watching our videos 😉

  • @DalazG
    @DalazG 9 หลายเดือนก่อน

    I'm trying to make a machine learning model for creating an automated forex trading strategy. Curious if this transferable?

    • @SMDS_Studio
      @SMDS_Studio 9 หลายเดือนก่อน

      Well, actually this is just a pretrained model We just get the weights on to our local machine and then use .predict function This way of using a pretrained model mostly works in any project Again, code file in the description Cheers

  • @TienTran-dn3jl
    @TienTran-dn3jl 9 หลายเดือนก่อน

    This is so exciting mate. Thanks!

    • @SMDS_Studio
      @SMDS_Studio 9 หลายเดือนก่อน

      You bet! 😂 Anyways, don't consider this a promotion but I am so sure you are going to like the video talking about building a language translator. Do check it out th-cam.com/video/OwA8mszL38w/w-d-xo.html

  • @SMDS_Studio
    @SMDS_Studio 9 หลายเดือนก่อน

    I am applying for financial aid because, as an independent individual, I currently do not have the financial means to afford the Deep Learning Specialization course by Andrew Ng on Coursera. While I have a strong passion for this field and a deep desire to learn, I am committed to taking responsibility for my own education and not relying on my parents for financial support. By obtaining financial aid, I can have the opportunity to pursue the Machine Learning Specialization independently, without imposing additional expenses on my parents. This course is a crucial step towards realizing my aspirations in the field of machine learning and acquiring the necessary skills and knowledge for my future career. I believe that receiving financial aid would not only alleviate my financial constraints but also empower me to actively engage in the course, access optional labs, and make the most of the learning experience. By investing in my education, I am determined to build a solid foundation in deep learning and contribute meaningfully to this rapidly evolving field. In conclusion, I sincerely request financial aid to overcome my current financial limitations and enroll in the Deep learning Specialization. I am dedicated, motivated, and committed to leveraging this opportunity to the fullest extent, ensuring a brighter future for myself while easing the financial burden on my parents.

  • @HansMcMurdy
    @HansMcMurdy 9 หลายเดือนก่อน

    lol and here is where you lose all your money. *video ends* 🤣

    • @SMDS_Studio
      @SMDS_Studio 9 หลายเดือนก่อน

      😂Think of a Machine giving a reply to this

  • @frankdearr2772
    @frankdearr2772 9 หลายเดือนก่อน

    Great topic, thanks 👍

    • @SMDS_Studio
      @SMDS_Studio 9 หลายเดือนก่อน

      My pleasure! In fact, we are working on similar type videos that are easier to replicate as well Hope you stay tuned!

  • @haroldasraz
    @haroldasraz 9 หลายเดือนก่อน

    Great review of NN. Keep up the excellent work.

    • @SMDS_Studio
      @SMDS_Studio 9 หลายเดือนก่อน

      Glad you enjoyed it

  • @Heuristicpohangtomars
    @Heuristicpohangtomars 9 หลายเดือนก่อน

    0:36

  • @wizarmy9580
    @wizarmy9580 9 หลายเดือนก่อน

    Where can i find the dataset that your are using

    • @SMDS_Studio
      @SMDS_Studio 9 หลายเดือนก่อน

      You can access both the code file and the dataset in this github page Here's the Link:- github.com/SMDS-Studio/Anomaly-Detection-with-Scikit-Learn

  • @alisher.m
    @alisher.m 10 หลายเดือนก่อน

    Thank you, good tutorial

    • @SMDS_Studio
      @SMDS_Studio 10 หลายเดือนก่อน

      Thank you! I'm glad I could confuse you just enough to make it seem like you learned something. 😉 anyways, you might like our image processing video which is kind of similar to this video when you see here's the link:- th-cam.com/video/KeIP7tz-33U/w-d-xo.html

  • @stukannote3
    @stukannote3 10 หลายเดือนก่อน

    By the way, please provide code listing if you can!

    • @SMDS_Studio
      @SMDS_Studio 10 หลายเดือนก่อน

      My Bad, Here you go:- github.com/SMDS-Studio/Predict-Trends-Code-File/blob/main/NeuralProphet.ipynb

  • @stukannote3
    @stukannote3 10 หลายเดือนก่อน

    I ran your code in Pycharm and it failed to run at the line: stocks = pd.read_csv('stock_data_Samsung.csv') unless I change it to stocks: DataFrame = pd.read_csv('stock_data_Samsung.csv')

    • @SMDS_Studio
      @SMDS_Studio 10 หลายเดือนก่อน

      This I am not really sure, I mean it should be working in the first case itself but then I recommend you to have a look at your python version

  • @fluxstandard8364
    @fluxstandard8364 10 หลายเดือนก่อน

    what is the programme he is writing in - i am using cmd

    • @SMDS_Studio
      @SMDS_Studio 10 หลายเดือนก่อน

      Jupyter notebook

  • @MrKlaygomes
    @MrKlaygomes 10 หลายเดือนก่อน

    We are not mastering anything here. Just learning how to use some functions at basic level 😅

    • @SMDS_Studio
      @SMDS_Studio 10 หลายเดือนก่อน

      Don't worry, we're just getting warmed up! We'll save the mastery for the sequel video.

    • @MrKlaygomes
      @MrKlaygomes 10 หลายเดือนก่อน

      @@SMDS_Studio ok, thank you for your reply. Looking forward.

  • @XzCHannelx
    @XzCHannelx 10 หลายเดือนก่อน

    Love the Video 🙏🏼 do you have any idea if there is another coding Tool, which i can use to make the graphs more visual appealing?

    • @SMDS_Studio
      @SMDS_Studio 10 หลายเดือนก่อน

      Hey, so in here at matplotlib itself you can perform 3d PLOTTING(we have a video on this already) as well as ANIMATIONS Plus there is seaborn which is again very good for visualization If you wish to see videos of these from us then do let us know!! Cheers

    • @XzCHannelx
      @XzCHannelx 10 หลายเดือนก่อน

      @@SMDS_Studio awesome thanks 🙏🏼 i will have a look into that