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Coder's Digest
India
เข้าร่วมเมื่อ 2 มิ.ย. 2020
Hi Guys,
Welcome to coder's digest. This channel is focused towards latest programming techniques such as
Machine Learning, Data Science, Data Analytics, Tableau, Artificial Intelligence, Python , R , SQL Server, Angular etc.
We are trying our best to provide you good and high quality content.
Please let us know your review in the comments section of the videos.
Welcome to coder's digest. This channel is focused towards latest programming techniques such as
Machine Learning, Data Science, Data Analytics, Tableau, Artificial Intelligence, Python , R , SQL Server, Angular etc.
We are trying our best to provide you good and high quality content.
Please let us know your review in the comments section of the videos.
pandas loc and iloc | loc and iloc function | Python pandas | loc vs iloc
#pandas #locvsiloc #pandasloc #pandasiloc
loc and iloc are function in pandas which are used to filter a pandas dataframe. in this video we will discuss in detail about loc and iloc . apart of that this video will give you in depth analysis of difference between pandas loc and iloc fuction.
Pandas loc and iloc | Pandas loc tutorial | Pandas iloc slicing | loc vs iloc
loc and iloc are function in pandas which are used to filter a pandas dataframe. in this video we will discuss in detail about loc and iloc . apart of that this video will give you in depth analysis of difference between pandas loc and iloc fuction.
Pandas loc and iloc | Pandas loc tutorial | Pandas iloc slicing | loc vs iloc
มุมมอง: 538
วีดีโอ
how to create virtual environment in R
มุมมอง 2.6K3 ปีที่แล้ว
Hi, In this video we will see how to create virtual environment in R, for this purpose i will use anaconda environment and i will use graphical anaconda navigator to create virtual environment.
cart model in r | Regression Trees in R | decision trees
มุมมอง 2.3K3 ปีที่แล้ว
#cart #regressiontrees #decisiontree Regression Trees are part of the CART techniques for prediction of a numerical target feature. in this video we will build an end to end CART model in r . Here we use the package rpart, with its CART algorithms. git link to code file :github.com/coders-digest/R-Programming/tree/main/CART model How does a decision tree split : th-cam.com/video/pKxriqSsShM/w-d...
How to Install OpenCV in PyCharm on Windows | Step-by-Step Tutorial
มุมมอง 38K3 ปีที่แล้ว
Learn how to install OpenCV in PyCharm on Windows 10 with this step-by-step tutorial. Whether you're a beginner or an experienced developer, this guide will help you set up OpenCV efficiently. 🔴 Timestamps: 00:00 Introduction 00:45 Setting up PyCharm 02:00 Installing OpenCV 04:30 Verifying the Installation 05:00 Common Issues and Fixes 🔗 Resources: - [Download PyCharm](www.jetbrains.com/pycharm...
How to Install OpenCV in Anaconda on Windows 10 & 11 | Step-by-Step Guide
มุมมอง 24K3 ปีที่แล้ว
Learn how to install OpenCV in Anaconda on Windows 10 and 11 with this step-by-step guide. Whether you're a beginner or an experienced developer, this tutorial will walk you through the entire process seamlessly. 🔴 Timestamps: 00:00 Introduction 00:45 Setting up Anaconda 02:30 Installing OpenCV 05:00 Verifying the Installation 06:30 Troubleshooting Common Issues 🔗 Resources: - [Download Anacond...
Azure Virtual Machine Tutorial | how to create vm in azure | Azure tutorial for beginners
มุมมอง 373 ปีที่แล้ว
#azure #microsoftazure #virtualmachines Hi guys, in this video I will demonstrate how to create vm in azure in step by step manner. we will also see how to create storage disks in azure and what are managed and unmanaged disks in azure. other than that we will also discuss what are tags in azure. i am very confident that this video will be helpful for you to understand how to create virtual mac...
Gini Index and Entropy|Gini Index and Information gain in Decision Tree|Decision tree splitting rule
มุมมอง 1.9K3 ปีที่แล้ว
#giniindex #ginigain #decisiontree today we will discuss how does a decision tree split or you can say how to split a tree. we will discuss the process to calculate gini coefficient, gini index and entropy etc. basically a decision tree split the tree based on a variable with gives the maximum information gain also known as gini gain. Gini impurity - any node which contains only one class will ...
How to Import and Read Text Files in R | Step-by-Step Guide
มุมมอง 28K3 ปีที่แล้ว
Learn how to import and read text files in R with this step-by-step tutorial. This guide covers essential methods for handling text files in R, perfect for beginners and experienced users alike. 🔴 Timestamps: 00:00 Introduction 01:00 Setting Up R Environment 02:30 Using read.table() 04:00 Using read.csv() 06:00 Handling Large Text Files 08:00 Troubleshooting Common Issues 🔗 Resources: - [R Docu...
google colab tutorial for beginners | Google Colab for machine learning and Deep learning | 2021
มุมมอง 6113 ปีที่แล้ว
#googlecolabtutorial #colab #Machinelearning In this video on google colab tutorial for beginners we will discuss what is google colab and how to use google colab for machine learning and Deep learning . Google Colab is a free cloud service and now it supports free GPU! You can; improve your Python programming language coding skills. develop deep learning applications using popular libraries su...
Ultimate Guide to Setting Up Your Data Science Environment with Anaconda | Beginner Tutorial
มุมมอง 1.4K3 ปีที่แล้ว
Learn how to set up your data science environment with Anaconda in this comprehensive beginner tutorial. We cover everything from installation to setting up Conda environments to get you started with data science and machine learning. 🔴 Timestamps: 00:00 Introduction 01:00 Downloading Anaconda 03:30 Installing Anaconda 06:00 Setting Up Conda Environments 09:00 Installing Essential Libraries 12:...
Anaconda Installation Guide 2024 | Step-by-Step Tutorial for Windows, Mac, and Linux
มุมมอง 15K3 ปีที่แล้ว
Learn how to install Anaconda (Python) on Windows, Mac, and Linux with this comprehensive 2024 guide. This step-by-step tutorial covers downloading and installing the latest version of Anaconda. 🔴 Timestamps: 00:00 Introduction 01:00 Downloading Anaconda 03:00 Installing Anaconda on Windows 06:00 Installing Anaconda on Mac 09:00 Installing Anaconda on Linux 12:00 Setting Up Anaconda 14:00 Verif...
Install Python 3.9 and PyCharm on Windows 10 | 2021 | PyCharm ide setup
มุมมอง 2.5K3 ปีที่แล้ว
Hi guys , PyCharm is one of the most popular ide for python development. in this video we will see how to install python 3.9 and PyCharm on windows 10. In this video I will show How To Install PyCharm Python IDE on Windows 10(Community Edition). Installing PyCharm is easy. you just need to download exe file and run the .exe by double clicking it. ►*Don’t forget to Subscribe* th-cam.com/channels...
How To Lock Individual Cells and Protect Sheets In Excel latest version | 2021
มุมมอง 523 ปีที่แล้ว
in this video we will see how to protect cells in excel and how to lock the sheets. in order to protect a cell we should click review tab in excel and click protect sheet, then it will ask for a password. we can lock and unlock individual excel cells with the help of this password. this excel video tutorial explains how to lock individual cells and protect worksheets with a password. Thanks
How to create virtual environment in python | python venv
มุมมอง 2123 ปีที่แล้ว
#howtocreatevirtualenvironmentinpython We will see How to create virtual environments in python Windows 10 Python applications often use packages that don’t come as part of the standard library. Applications will sometimes need a specific version of a library, because the application may require that a particular bug has been fixed or the application may be written using an obsolete version of ...
Feature selection techniques(python) | feature selection using filter method in python
มุมมอง 2.3K3 ปีที่แล้ว
#featureselectiontechnique Github link : github.com/coders-digest/Feature-Selection-techniques-in-python feature selection in machine learning is a process where we select the features either manually or by built in packages such as sci kit learn to select feature which we need to feed to our machine learning models. in this video we will see feature selection using filter method. feature selec...
how to make synthetic data in python | create synthetic data for machine learning
มุมมอง 4.2K3 ปีที่แล้ว
how to make synthetic data in python | create synthetic data for machine learning
Artificial neural network using R | Ann in R
มุมมอง 1.5K3 ปีที่แล้ว
Artificial neural network using R | Ann in R
how to deploy r model as api | Machine Learning model Deployment
มุมมอง 4K3 ปีที่แล้ว
how to deploy r model as api | Machine Learning model Deployment
an overview of python's datatable package | python data table tutorial
มุมมอง 9513 ปีที่แล้ว
an overview of python's datatable package | python data table tutorial
how to install julia language on windows | julia programming language
มุมมอง 3503 ปีที่แล้ว
how to install julia language on windows | julia programming language
Efficiently Merge Multiple CSV Files into One with Python & Pandas | Step-by-Step Tutorial
มุมมอง 23K3 ปีที่แล้ว
Efficiently Merge Multiple CSV Files into One with Python & Pandas | Step-by-Step Tutorial
what is shallow copy and deep copy | copy() function python
มุมมอง 1.5K3 ปีที่แล้ว
what is shallow copy and deep copy | copy() function python
visual studio code for python | python in visual studio code tutorial | vscode python
มุมมอง 2263 ปีที่แล้ว
visual studio code for python | python in visual studio code tutorial | vscode python
Dplyr in r | part 6 [ Sampling and rename functions ]
มุมมอง 353 ปีที่แล้ว
Dplyr in r | part 6 [ Sampling and rename functions ]
Dplyr in r | part 5 [ Joins in dplyr ] | innerjoin r
มุมมอง 503 ปีที่แล้ว
Dplyr in r | part 5 [ Joins in dplyr ] | innerjoin r
Dplyr in r | part 4 [summarize, summarize each , distinct, tally ]
มุมมอง 2813 ปีที่แล้ว
Dplyr in r | part 4 [summarize, summarize each , distinct, tally ]
Dplyr in r | part 3 [ Group by, mutate, distinct , if else ]
มุมมอง 6263 ปีที่แล้ว
Dplyr in r | part 3 [ Group by, mutate, distinct , if else ]
Dplyr in r | part 2 [ dplyr filter, select , select if , coalesce, cumulative mean ]
มุมมอง 2373 ปีที่แล้ว
Dplyr in r | part 2 [ dplyr filter, select , select if , coalesce, cumulative mean ]
Dplyr in r | part 1 [ arrange function in r, scramble data, all_equal, Case ]
มุมมอง 1903 ปีที่แล้ว
Dplyr in r | part 1 [ arrange function in r, scramble data, all_equal, Case ]
thank you so much
helpful
Very interesting. Can you help me to performe this part of analysis on my data?
Thank you . What kind of analysis you need help with??
@@codersdigest1466 great thanks for your atention to my request. I've a data to do time series analysis. Is there strict rule that specifies the proportion to split the data set? (Some says 80 to 20, others say 70 to 30).
@@DB-kv3wu there is no specific rule like that, you can do 80, 20 . should be good
@@codersdigest1466 i've asked few experts those deliver explanations about time series analysis and forecasting. I wanna do time series analysis and forecasting using hybrdizing ARIMA with an appropriate machine learning models like GRNN, ANN, LSTM, etc. But, no one volenteer to assist me. Would you pls assist me in this area?
Thanks for the video! I have a question: I currently have an Excel file with a list of companies and their ISINs. There are also columns that show the ESG score, environmental score, social score and governance score for the years 2002 to 2023. For example, one column is called "ESG score (FY 2002)" However, I would like the columns to show only the year (2002-2023) and also add a column containing the "ESG datatype". So whether it is the esg score, environment score etc. Do you have any idea how I can implement this?
Insightful
Thanks Mate
It's super useful...May Allah bless you.
Thanks a lot
Github link for code please
This video just saved me a whole lot of processes. Super amazing!!!!!
Thanks a lot for nice words
bruh how much will that took to load like its been 10 min at least for me
well done, thank you!
Glad it was helpful!
Thank youuuuuuuuuuuuuuuuu
Welcome
oh my GOD!!thank you very much!!in have been awake this whole night trying to make it work, just reading a file, how stupid I felt for being hours stuck in such a basic issue!!i was using read.table and my felis would get messed up, the first rows would not be read, so when I just change the word table for delim, it was able to correctly read my file!thankyouuu!
I am glad it was helpful
Bro, the interpreter package should be downloaded separately? If so can you provide the link?
Trimming outliers in one code line: trimmed_df=df[(df.col > lower_boundary) | (df.col < upper_boundary)]
How can I make connections only with coding?
It helps
Thank you very much.
Most welcome
Can you also make code availalble
Perfect. Thank you Indian smart boy!
Thanks Buddy
It's the best way I've found to do this thank you this video is amazing it helped a lot
I am glad you found it helpful
thanks
You're welcome!
Thanks
Welcome
Thank You
You're welcome
Why pycharm is not auto completing opencv functions
thanks . hi i cant find the second video on using the mice package of urs
Don't know why but navigator install and conda install doesn't work for me, but pip install is works! Thank you!
glad , its been helpful
How to set the depth of the regression tree?
great after many vides, it worked for me. thank you bro
Should apply encoding on both train and test both or only on train? Plz guide me.
Mashallah Brother.
extremely helpful
Thanks
Nice man
Thanks for the visit
Such a blessing! Been dealing with outliers for the past week and I created duplicates instead of treating them! Thank you!
So glad to hear
Great work 👏👏👏
Thanks a lot 😊
Thanks for the useful video! I have a question: how can you tell which transformation is better? Do you usually try them all and then manually check the QQ plots? If 2 QQplots of 2 different transformation look like a good fit, do you run any tests to arithmetically check which is better?
Thanks. But this method does totally affect th randomness of the data, I want a method or model tht will predicts the value over the null values and fill it there.
make one for PIL as well please
perfect!
Thank you soo much for this video!
You are so welcome!
Hey, great video, Do tell what to do if I want the multiple excel sheets in one workbook with different sheets only?
Thank you
You're welcome
This is a great video thanks. But I have a question: Is there a way to take something that has close to a Gaussian distribution and transform it into a Laplacian distribution? I want Laplacian because it has a sharp peak and is good for certain analysis. Thanks.
Hello, So, is that like a multiple linear regression ?
Do I need r tools for this file too ???
Fantastic explanation. I just came from wikipedia reading about them, but i didn't quite get it. i'm glad this was the first video i watched after searching here.
Thank you for the kind words
Thanks. This worked!
how do you color the markdown to green ? its look cool!
thank you so much keep going you explain very well
Thanks for making this video, it was helpful. It takes a long time to create virtual environment, is there a way to speed up the process.
Please help! I am getting file exception error while installing opencv-python