Welcome to the channel. So, if you're reading this, you're probably wondering what this is all about and who the hell is this Nicholas Renotte guy.
Right?
Right!
Well, I'm here to share practical ways to get started with data science, machine learning and deep learning using a bunch of different tools but mainly Python and Javascript. My only goal is to make it easier to get started and break through all the fancy jargon and complex math that's out there in the field and get YOU up and running with some sick ml projects.
Are you John the man ,my older brother was SCHEMMING ON A PRSONS HOUSEA WOMANS HOUSE ,IF SO JOHN OR W.E. DON'T WITH ME IF U DOING IT TO INCENT PPL ,IJS
Nick can u give the versions of tf and keras u used in the video not only me everyone are getting errors at epoch some are getting in load video functions please give the versions that u used nick i beg u olease
Im a truck driver and they have these types of cameras set up. Do you know how I can get started in this field? Any courses or college classes I can take or if I start with python?
If we're just looking at this video as a way to program something cool and learn how to code, sure I'm on board. But if anyone actually thinks this would work in a live market, I'm sorry but you will be met with frustration. Bots are derived from static code, and the market is dynamic and has ever changing conditions. It's not black and white. HFT bots aren't trading like this they're sniping order fulfilment and profiting pennies on each dollar. But they are doing it with such a high frequency those corporations can make millions of dollars in a day. For example, you place an order to buy XYZ at $10, an HFT bot see's that and buys a position at $9, and then immediately creates a sell order to fulfill your buy order at $10, profiting $1. It's not actually "trading" or holding positions.
Dear Nicholas, thank you so much for sharing this video. After watching it, I feel much more confident in learning Python and the fundamental concepts necessary for data science.
I need emergency help: In the latest updates between Media Pipe and Tensorflow I did not find compatibility in the libraries If anyone still works with MediaPipe and Tensorflow Please help me
How are you ? I just watched your video and immediately subscribed to your channel. What caught my attention the most, besides your strategy, was knowing that you carry out your operations at the QUOTEX brokerage, exactly the same brokerage as this, which is very good, as I see many traders using Pocket Option. I confess that I was a little doubtful about some of the entries you made. Of course I noticed that you take into account the market trend. Are there any entry triggers that you didn't mention in your video? Thank you for sharing your video and your strategies. Here in Brazil we look for good channels on RU-vid about Binary Options, yours is one of them. ��
could u lease drop the code and steps for this amazing project it would be so much helpful i am a university student and i am working on a similar project
while actually creating the tf records on the notebook GETTING THIS ERROR: Traceback (most recent call last): File "D:\RealTimeObjectDetection\Tensorflow\scripts\generate_tfrecord.py", line 29, in <module> from object_detection.utils import dataset_util, label_map_util File "C:\Users\soodu\AppData\Local\Programs\Python\Python312\Lib\site-packages\object_detection-0.1-py3.12.egg\object_detection\utils\label_map_util.py", line 29, in <module> from object_detection.protos import string_int_label_map_pb2 File "C:\Users\soodu\AppData\Local\Programs\Python\Python312\Lib\site-packages\object_detection-0.1-py3.12.egg\object_detection\protos\string_int_label_map_pb2.py", line 9, in <module> from google.protobuf import runtime_version as _runtime_version ImportError: cannot import name 'runtime_version' from 'google.protobuf' (C:\Users\soodu\AppData\Local\Programs\Python\Python312\Lib\site-packages\google\protobuf\__init__.py) its a import error,how to resolve it...
Is there a basic, from scratch, no exp ML,DL, RL course that you have done. Struggling to find a from day 0 how to get started with all of this. I'm wanting to make my own custom env to load mazes, games, maps etc so they can RL there way around
If you want to follow his tutorial (3 years old video) now, you need to follow these steps below: 1. `pip uninstall tensorflow` (I'm assuming that you are using the latest version of TensorFlow, which is not compatible with his tutorial) 2. `pip install tensorflow<=2.13.0` (His code works with version 2.13.0 and earlier) 3. `pip install object-detection-by-ovi==0.0.1` (Install this package, Instead of installing 4 steps object-detection-API. I made this package that replaces the 4-step) **Important:** Follow these steps sequentially (Steps 1, 2, 3). Don't change the order (e.g., don't use 3, 1, 2 or 3, 2, 1) Let me know in the replies if it works.
If you want to follow this tutorial, you need to follow these steps: 1. `pip uninstall tensorflow` (I'm assuming that you are using the latest version of TensorFlow, which is not compatible with this tutorial) 2. `pip install tensorflow<=2.13.0` (His code works with version 2.13.0 and earlier) 3. `pip install object-detection-by-ovi==0.0.1` (Instead of installing 4 steps object-detection-API described at 25:50, install this package) **Important:** Follow these steps sequentially (Steps 1, 2, 3). Don't change the order (e.g., don't use 3, 1, 2 or 3, 2, 1) Follow the rest of the tutorial as he described. Let me know in the replies if it works.
Been a member of your VIP group for a few months now, and I have to say, it's been one of the best investments I've made in my trading career. Thank you for all the incredible knowledge and support!
Hi Nick, Thanks for your video, Somehow, i cannot run the code in jupyter notebook, as the code uses tensorflow 1.x and googlecolab only support googlecolab tensorflow 2.x and which tensorflow 2.x only works with stablebaselines3, can you kindly how how can we upgrade the code to tensorflow 2.x with stablebaselines3 ? Thanks