- Видео 280
- Просмотров 99 757
Code with Kristi
Индия
Добавлен 5 дек 2015
The channel focuses on programming tutorials, coding tips and tricks, and software development-related topics. The content creator covers various programming languages such as Python, SQL, PowerBI, and others. CodeWithKristi provides guidance on Machine Learning, Data Science, and other areas within the software engineering field.
The channel offers a range of video content, including tutorial walkthroughs, coding challenges, project showcases, and discussions about industry trends or best practices. CodeWithKristi covers specific frameworks, libraries, or tools related to software development. The channel provides resources for beginners who are just starting to learn programming, as well as more advanced topics for experienced developers.
To get a more accurate and up-to-date understanding of the content on CodeWithKristi's RUclips channel, I recommend visiting the link provided and exploring the videos and descriptions available there.
The channel offers a range of video content, including tutorial walkthroughs, coding challenges, project showcases, and discussions about industry trends or best practices. CodeWithKristi covers specific frameworks, libraries, or tools related to software development. The channel provides resources for beginners who are just starting to learn programming, as well as more advanced topics for experienced developers.
To get a more accurate and up-to-date understanding of the content on CodeWithKristi's RUclips channel, I recommend visiting the link provided and exploring the videos and descriptions available there.
MRI Brain Tumor Segmentation Using ResUNet Deep Learning Architecture
Call or WhatsApp +91-8909603708 for Research Projects
Deep Learning for Brain Tumor Segmentation: Utilizing ResUNet Architecture
Supporting File: drive.google.com/drive/folders/16UbSpyMp61epoFmIvxR3O02C0gd3DeJi?usp=sharing
Access this folder
Code File: github.com/sachin365123/MRI-Brain-Tumor-Segmentation-Using-ResUNet-Deep-Learning-Architecture-/tree/main
- Data source: www.kaggle.com/mateuszbuda/lgg-mri-segmentation
- Clickable link for the full list of startups in AI medical imagery: research.aimultiple.com/looking-for-better-medical-imaging-for-early-diagnostic-and-monitoring-contact-the-leading-vendors-here/
- Feature Extraction and Convolutions: setosa.io/ev/image-kernels/
- CNN Visualizatio...
Deep Learning for Brain Tumor Segmentation: Utilizing ResUNet Architecture
Supporting File: drive.google.com/drive/folders/16UbSpyMp61epoFmIvxR3O02C0gd3DeJi?usp=sharing
Access this folder
Code File: github.com/sachin365123/MRI-Brain-Tumor-Segmentation-Using-ResUNet-Deep-Learning-Architecture-/tree/main
- Data source: www.kaggle.com/mateuszbuda/lgg-mri-segmentation
- Clickable link for the full list of startups in AI medical imagery: research.aimultiple.com/looking-for-better-medical-imaging-for-early-diagnostic-and-monitoring-contact-the-leading-vendors-here/
- Feature Extraction and Convolutions: setosa.io/ev/image-kernels/
- CNN Visualizatio...
Просмотров: 425
Видео
How to use Microsoft Azure AI Document Intelligence
Просмотров 962Месяц назад
In this learning path, you'll see how Azure AI Document Intelligence solutions can enable you to capture data from typed or hand-written forms. documentintelligence.ai.azure.com/studio/read You'll also learn how to build a solution for your custom form types and integrate that solution into an Azure Cognitive Search pipeline. You'll learn 5 parts of this tool: 1. Design a solution that analyzes...
How to create Data Community Edition in Data Bricks?
Просмотров 24Месяц назад
This video will explain how to create Data Community Edition in Data Bricks. LinkedIn Profile of author: www.linkedin.com/in/sachin-saxena-graphic-designer/ Code Source Link: github.com/sachin365123/examworld.co.in Blog Link: sachinplacement.blogspot.com/p/blog-page_48.html All Python codes have been successfully executed on Python 3.5 (32 bits) and Anaconda Navigator (anaconda3) Other videos: ...
How to Convert Azure Free Trial to Paid Subscription
Просмотров 29Месяц назад
This video will explain how to Convert Azure Free Trial to Paid Subscription. LinkedIn Profile of author: www.linkedin.com/in/sachin-saxena-graphic-designer/ Code Source Link: github.com/sachin365123/examworld.co.in Blog Link: sachinplacement.blogspot.com/p/blog-page_48.html All Python codes have been successfully executed on Python 3.5 (32 bits) and Anaconda Navigator (anaconda3) Other videos:...
How to use Microsoft Azure AI Services
Просмотров 120Месяц назад
🚀 Dive into Azure AI Services designed to democratize AI for developers worldwide! No machine learning expertise needed! 🔑 Exposed as APIs, these services enable programs to see, hear, speak, search, and understand content like humans. From analyzing images 📷 and videos 🎥 to interpreting text and audio, Azure AI offers a suite of tools including Vision, Language, and Speech services. Discover t...
Why Machine Learning: Innovate Insight: Unboxing the Latest Tech Marvels in ML?
Просмотров 694 месяца назад
This video will explain Why Machine Learning? "Unveiling the Power of Machine Learning: Transforming Data into Insights" "Machine Learning Demystified: A Journey into Intelligent Algorithms" "The Impact of Machine Learning: From Predictive Analytics to Autonomous Systems" "Cracking the Code: How Machine Learning is Shaping the Future" "Beyond Programming: The Essence of Machine Learning Explain...
HR Hilarity: The VIP Onboarding Rom-Com Extravaganza!
Просмотров 11 тыс.5 месяцев назад
Ever dreamt of being the VIP in your own office rom-com? 🌟 Well, HR has you covered! They assign a designated office comedian to follow you around, cracking jokes and ensuring that your transition into the professional world is accompanied by laughter. 😂 You'll never feel alone with your personal jokester by your side, turning mundane tasks into stand-up routines. 🤹♂️🎉 LinkedIn Profile of auth...
🏥Heart Disease Forecasting: Machine Learning & Pickle Tutorial 🤖❤️
Просмотров 1327 месяцев назад
"📊 Predicting Heart Disease with Machine Learning | Save & Reuse Models with Pickle 🤖❤️ | Data Science Tutorial" Predicting ❤️❤️ heart disease using a Machine Learning algorithm is a common application in healthcare and data science. The goal of this project is to build a model that can predict the likelihood of a person having #HeartDisease 💔 based on various medical and clinical attributes. ...
Hands on: Setting up SQLite in Python
Просмотров 687 месяцев назад
🐍 Introduction to SQLite and Python Integration 📊 Python, often dubbed as the Swiss Army Knife of programming languages, boasts a versatile ecosystem. One of its lesser-known gems is its integration with SQLite, a lightweight and efficient relational database management system. In this article, we'll embark on a journey to explore the fascinating world where Python and SQLite intersect. 🔍🤝 📂 Se...
SQL Basics: A Step-by-Step Tutorial
Просмотров 647 месяцев назад
This video will explain how SQL Join Mastery: Exploring the World of Multiple Joins. 🔗 Understanding Multiple Joins in SQL SQL, which stands for Structured Query Language, is a powerful tool for managing and manipulating data within relational databases. One of the fundamental operations in SQL is joining tables, and when it comes to complex data relationships, multiple joins play a crucial rol...
Power BI Male Female Gender Based Data Analytics Projects: Step-by-Step Gender Analysis in Power BI
Просмотров 3,5 тыс.7 месяцев назад
📊 Introduction to Power BI 📈 Hey everyone! 🌟 Today, we're diving into the fascinating world of Power BI 📊, a powerful tool for data analytics projects. 💡 Let's explore how you can use it to unlock insights in Male-Female Gender-Based Data Analytics! 🚀 GitHub Link: github.com/sachin365123/Employment-Data-Power-BI-Data-Analyrtics-Solution 📂 Importing Data 📊 First things first! 📁 Let's import our ...
Python List Comprehension vs. Dictionary Comprehension: A Complete Guide
Просмотров 678 месяцев назад
Python List Comprehension: 🐍 List Comprehension is a concise way to create lists in Python. It's a more readable and efficient alternative to traditional for loops for list creation. 📝 List Comprehension syntax: [expression for item in iterable]. 🔄 You can use any iterable (lists, strings, tuples, etc.) to create a new list. ✅ Example: [x 2 for x in range(1, 6)] generates [1, 4, 9, 16, 25]. 🎯 ...
Unlocking Business Intelligence: Connect Microsoft SQL Server with Power BI
Просмотров 2598 месяцев назад
This video will explain how to connect SQL server with Power BI. 🔗💼 Unlocking Data Insights: Microsoft SQL Server & Power BI Integration 💼🔗 Are you ready to supercharge your data analysis game? 💪📊 Microsoft SQL Server and Power BI are the dynamic duo you've been waiting for! 🚀 🌐 Seamless Integration: Connect SQL Server to Power BI effortlessly to harness the full potential of your data. 📈 Visua...
SQL Join Magic: How to Combine Tables with Multiple Joins
Просмотров 968 месяцев назад
This video will explain how SQL Join Mastery: Exploring the World of Multiple Joins. 🔗 Understanding Multiple Joins in SQL SQL, which stands for Structured Query Language, is a powerful tool for managing and manipulating data within relational databases. One of the fundamental operations in SQL is joining tables, and when it comes to complex data relationships, multiple joins play a crucial rol...
Mastering Power BI: Transforming HR Data into Actionable Insights
Просмотров 3398 месяцев назад
Project Title: 🔌 Power BI Dashboard for HR Analytics Project Description: Create a stunning Power BI dashboard to transform raw sales data into actionable insights and visually appealing reports. This project will empower decision-makers with real-time information, helping them make informed choices and drive business growth. Project Objectives: 🚀 Data Integration: 📊🔄 Combine data from various ...
Cleaner Data, Better Insights: Boxplot Method for Outlier Removal 📈📊 | Data Science Tips
Просмотров 648 месяцев назад
Cleaner Data, Better Insights: Boxplot Method for Outlier Removal 📈📊 | Data Science Tips
Mastering Data Cleaning: Removing Outliers with Boxplots 📊🧹 | Data Analysis Tutorial
Просмотров 2128 месяцев назад
Mastering Data Cleaning: Removing Outliers with Boxplots 📊🧹 | Data Analysis Tutorial
Mastering Data Analysis: How to Spot Outliers with Percentiles
Просмотров 1468 месяцев назад
Mastering Data Analysis: How to Spot Outliers with Percentiles
Mastering Google Play Store Analytics with Python and Power BI
Просмотров 5118 месяцев назад
Mastering Google Play Store Analytics with Python and Power BI
Microsoft SQL Server Installation Best Practices and Common Mistakes
Просмотров 9978 месяцев назад
Microsoft SQL Server Installation Best Practices and Common Mistakes
Boost Your SQL Skills with JOINs: Step-by-Step Tutorial
Просмотров 1508 месяцев назад
Boost Your SQL Skills with JOINs: Step-by-Step Tutorial
Live Interview Exciting Opportunity: Participate in User Research Interviews with LSEG
Просмотров 10510 месяцев назад
Live Interview Exciting Opportunity: Participate in User Research Interviews with LSEG
Can you share all the jupyter notebook codes at the end that show the detection?
sure will do
Can you share all the jupyter notebook codes at the end that show the detection?
😂😂😂😂😂😂❤❤❤❤❤❤
Thanks for a great Video!! Any reference or documentation for how to train the custom model in DIS using python SDK?
sure will upload very soon....
connect here www.linkedin.com/in/sachin-saxena-graphic-designer/
What do we have to do after creating it and adding keys?
You are providing API access to your AZURE subscription to use resources.....
Hi - excellent video! I'm trying to recreate, but I can't see the weights.hdf5 file on your github. What model architecture did you train to get such high performance for the binary classification? My accuracy is only around 65% when following the exact notebook :) Edit: My mistake, I think. I ran with too few epochs. Anyone that's following along, ensure you change the epochs=1 in the fit line :)
drive.google.com/drive/folders/16UbSpyMp61epoFmIvxR3O02C0gd3DeJi?usp=sharing Access this folder, You will find
@ggraj
www.linkedin.com/in/sachin-saxena-graphic-designer/
Thank you!
It will be better if you explain the code while writing,there is no sound in this video
I'm solving paper.... www.linkedin.com/in/sachin-saxena-graphic-designer/
😅
in this video 28:59 you changed to another colab page that has the file run how to import that file and how you rectified that error before
Please give me the solution for Boolean exercise 7th question
Any mammogram related video??
Bro how to choose model ? Do you have insta page ?
www.linkedin.com/in/sachin-saxena-graphic-designer/
Did you pass the exam ?
This is data analyst exam right?
Can fresher apply turing for cloud data engineer role?
Yes, of course....
@@codewithkristi but when i try to apply on their website on the form filling more then 2-3 years of experience required is mentioned.
@@codewithkristi are you on LinkedIn? We can do conversation thier?
@@codewithkristi sorry,they have mentioned that 3+ years developer have higher chance to hire.
yes @@meetpatel2720 www.linkedin.com/in/sachin-saxena-graphic-designer/
Best Video!! Thanks a lot for making it.
Thanks dear
@@codewithkristi previously I ran this program the model ran fine. but now it shows error for the same code. /content/sign-language--1 Ultralytics YOLOv8.0.230 🚀 Python-3.10.12 torch-2.1.0+cu121 CUDA:0 (Tesla T4, 15102MiB) engine/trainer: task=detect, mode=train, model=/content/yolov8s.pt, data=/content/sign-language--1/data.yaml, epochs=25, time=None, patience=50, batch=16, imgsz=640, save=True, save_period=-1, cache=False, device=None, workers=8, project=None, name=train, exist_ok=False, pretrained=True, optimizer=auto, verbose=True, seed=0, deterministic=True, single_cls=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=True, fraction=1.0, profile=False, freeze=None, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, vid_stride=1, stream_buffer=False, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, embed=None, show=False, save_frames=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, show_boxes=True, line_width=None, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=None, workspace=4, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0, cfg=None, tracker=botsort.yaml, save_dir=runs/detect/train Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/trainer.py", line 116, in __init__ self.data = check_det_dataset(self.args.data) File "/usr/local/lib/python3.10/dist-packages/ultralytics/data/utils.py", line 312, in check_det_dataset raise FileNotFoundError(m) FileNotFoundError: Dataset '/content/sign-language--1/data.yaml' images not found ⚠, missing path '/content/sign-language--1/sign-language--1/valid/images' Note dataset download directory is '/content/datasets'. You can update this in '/root/.config/Ultralytics/settings.yaml' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/usr/local/bin/yolo", line 8, in <module> sys.exit(entrypoint()) File "/usr/local/lib/python3.10/dist-packages/ultralytics/cfg/__init__.py", line 448, in entrypoint getattr(model, mode)(**overrides) # default args from model File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/model.py", line 351, in train self.trainer = (trainer or self._smart_load('trainer'))(overrides=args, _callbacks=self.callbacks) File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/trainer.py", line 120, in __init__ raise RuntimeError(emojis(f"Dataset '{clean_url(self.args.data)}' error ❌ {e}")) from e RuntimeError: Dataset '/content/sign-language--1/data.yaml' error ❌ Dataset '/content/sign-language--1/data.yaml' images not found ⚠, missing path '/content/sign-language--1/sign-language--1/valid/images' Note dataset download directory is '/content/datasets'. You can update this in '/root/.config/Ultralytics/settings.yaml' this is the error i am getting. what to do?
@@awhbxrry6309 yes I'm also getting this error how to rectify this?
Hi sir how do we do preprocessing of kidney tumor ct images?
call or WhatsApp +91-8909603708
Could you please share the dataset?
thx for clear explanation step by step!
Thanks for commenting...
Promo'SM
72/749
23/749
133/746
Good 👍👍👍👍👍👍
38/721
202/720
12/719
42/715
134/714
Hi ..Are you going to be the trainer in CodingSquare ???
Yes, how do you know???
@@codewithkristi I hv enrolled for the course .Saw your demo videos. That's why
@@anikeetdey3411 kindly do subscribe my channel and share with your friends
Grt information
What was the score?
11/676
8/669
119/665
102/662
55/661
41/660
17/659
10/659
76/658
47/657
35/657
30/657
22/657
Super very knowledgeable
thanks
❤❤❤
105/655
150/655
98/654