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 KZread channel, I recommend visiting the link provided and exploring the videos and descriptions available there.
Пікірлер
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!
@@codewithkristi this folder doesn't exists it says
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