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In this video, you will learn how to build your first machine learning model in Python using the scikit-learn library.
🔗 Colab https://colab.research.google.com/
🔗 Code https://github.com/dataprofessor/first-ml
🔗 GitHub https://github.com/dataprofessor
🔗 Blog https://towardsdatascience.com..../how-to-build-a-mach
📖 DiscoverDataScience https://www.discoverdatascience.org
📖 https://www.discoverdatascience.org/articles/journey-through-data-science-with-the-data-professor/
Time stamp
0:00 Introduction
0:15 Getting started with Google Colab
1:30 Load dataset
6:52 Split to X and y
8:30 Split data to train/test set
11:45 About DiscoverDataScience
13:00 Model building with Linear regression
21:55 Model building with Random forest
26:00 Model comparison
27:55 Data visualization
30:32 Conclusion
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#datascience #machinelearning #dataprofessor
Presenting Hollywood Movie In English (English Movies, Hollywood Movies, Action Movies In English, Thriller Movies In English) "SILVER REVOLVER" Exclusively on @hollywoodfictionmovies Sit back & enjoy
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Credits:
Stars: Jason Statham, Paddy Considine, Aidan Gillen
Director: Elliott Lester
Writer: Nathan Parker
Synopsis:
Detective Sergeant Tom Brant is assigned to track down a dangerous serial killer that has been picking off police officers. With his partner, Porter Nash, this killer cop must track down the cop killer
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Music video by Sports performing You Are The Right One
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Stream Get A Good Look Pt.1: https://sports.ffm.to/gaglpt1
Directed By: Brandon Waddell
Title Design: Jacob Theriot
Filmed In: Norman, OK
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Lyrics:
You were the right way
I was just waiting ' for you to look at me
Is there a wrong time
Baby, I'm guessing
Just let me know
Well, it's been a long time
Since you've been lonely
So what will I do
You are the right one
And I'm just the boy who is looking at you
Peut-être une prochaine fois, au détour d'un bar
So what will I do
Avec quatre grammes dans l'sang
À plus mec, bonne soirée
I tried the wrong way
I was just guessing, biding my time
You are the only one I can picture by my side
#NakedAllTheTime #Sports
When it comes to caliber, .22LR is not necessarily the strongest one or super useful for self-defense. However, it is a timeless cartridge that just goes and goes on. Why? It is super affordable, there is plenty of it, it comes with little to no recoil, makes little noise, and gets shot from equally affordable guns. So, if you are looking for a good rifle to shoot this little round, we will show you the best of them.
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Learn the basics of computer vision with deep learning and how to implement the algorithms using Tensorflow.
Author: Folefac Martins from Neuralearn.ai
More Courses: www.neuralearn.ai
Link to Code: https://colab.research.google.....com/drive/18u1KDx-96
YouTube Channel: https://www.youtube.com/@neuralearn
⭐️ Contents ⭐️
Introduction
⌨️ (0:00:00) Welcome
⌨️ (0:05:54) Prerequisite
⌨️ (0:06:11) What we shall Learn
Tensors and Variables
⌨️ (0:12:12) Basics
⌨️ (0:19:26) Initialization and Casting
⌨️ (1:07:31) Indexing
⌨️ (1:16:15) Maths Operations
⌨️ (1:55:02) Linear Algebra Operations
⌨️ (2:56:21) Common TensorFlow Functions
⌨️ (3:50:15) Ragged Tensors
⌨️ (4:01:41) Sparse Tensors
⌨️ (4:04:23) String Tensors
⌨️ (4:07:45) Variables
Building Neural Networks with TensorFlow [Car Price Prediction]
⌨️ (4:14:52) Task Understanding
⌨️ (4:19:47) Data Preparation
⌨️ (4:54:47) Linear Regression Model
⌨️ (5:10:18) Error Sanctioning
⌨️ (5:24:53) Training and Optimization
⌨️ (5:41:22) Performance Measurement
⌨️ (5:44:18) Validation and Testing
⌨️ (6:04:30) Corrective Measures
Building Convolutional Neural Networks with TensorFlow [Malaria Diagnosis]
⌨️ (6:28:50) Task Understanding
⌨️ (6:37:40) Data Preparation
⌨️ (6:57:40) Data Visualization
⌨️ (7:00:20) Data Processing
⌨️ (7:08:50) How and Why ConvNets Work
⌨️ (7:56:15) Building Convnets with TensorFlow
⌨️ (8:02:39) Binary Crossentropy Loss
⌨️ (8:10:15) Training Convnets
⌨️ (8:23:33) Model Evaluation and Testing
⌨️ (8:29:15) Loading and Saving Models to Google Drive
Building More Advanced Models in Teno Convolutional Neural Networks with TensorFlow [Malaria Diagnosis]
⌨️ (8:47:10) Functional API
⌨️ (9:03:48) Model Subclassing
⌨️ (9:19:05) Custom Layers
Evaluating Classification Models [Malaria Diagnosis]
⌨️ (9:36:45) Precision, Recall and Accuracy
⌨️ (10:00:35) Confusion Matrix
⌨️ (10:10:10) ROC Plots
Improving Model Performance [Malaria Diagnosis]
⌨️ (10:18:10) TensorFlow Callbacks
⌨️ (10:43:55) Learning Rate Scheduling
⌨️ (11:01:25) Model Checkpointing
⌨️ (11:09:25) Mitigating Overfitting and Underfitting
Data Augmentation [Malaria Diagnosis]
⌨️ (11:38:50) Augmentation with tf.image and Keras Layers
⌨️ (12:38:00) Mixup Augmentation
⌨️ (12:56:35) Cutmix Augmentation
⌨️ (13:38:30) Data Augmentation with Albumentations
Advanced TensorFlow Topics [Malaria Diagnosis]
⌨️ (13:58:35) Custom Loss and Metrics
⌨️ (14:18:30) Eager and Graph Modes
⌨️ (14:31:23) Custom Training Loops
Tensorboard Integration [Malaria Diagnosis]
⌨️ (14:57:00) Data Logging
⌨️ (15:29:00) View Model Graphs
⌨️ (15:31:45) Hyperparameter Tuning
⌨️ (15:52:40) Profiling and Visualizations
MLOps with Weights and Biases [Malaria Diagnosis]
⌨️ (16:00:35) Experiment Tracking
⌨️ (16:55:02) Hyperparameter Tuning
⌨️ (17:17:15) Dataset Versioning
⌨️ (18:00:23) Model Versioning
Human Emotions Detection
⌨️ (18:16:55) Data Preparation
⌨️ (18:45:38) Modeling and Training
⌨️ (19:36:42) Data Augmentation
⌨️ (19:54:30) TensorFlow Records
Modern Convolutional Neural Networks [Human Emotions Detection]
⌨️ (20:31:25) AlexNet
⌨️ (20:48:35) VGGNet
⌨️ (20:59:50) ResNet
⌨️ (21:34:07) Coding ResNet from Scratch
⌨️ (21:56:17) MobileNet
⌨️ (22:20:43) EfficientNet
Transfer Learning [Human Emotions Detection]
⌨️ (22:38:15) Feature Extraction
⌨️ (23:02:25) Finetuning
Understanding the Blackbox [Human Emotions Detection]
⌨️ (23:15:33) Visualizing Intermediate Layers
⌨️ (23:36:20) Gradcam method
Transformers in Vision [Human Emotions Detection]
⌨️ (23:57:35) Understanding ViTs
⌨️ (24:51:17) Building ViTs from Scratch
⌨️ (25:42:39) FineTuning Huggingface ViT
⌨️ (26:05:52) Model Evaluation with Wandb
Model Deployment [Human Emotions Detection]
⌨️ (26:27:13) Converting TensorFlow Model to Onnx format
⌨️ (26:52:26) Understanding Quantization
⌨️ (27:13:08) Practical Quantization of Onnx Model
⌨️ (27:22:01) Quantization Aware Training
⌨️ (27:39:55) Conversion to TensorFlow Lite
⌨️ (27:58:28) How APIs work
⌨️ (28:18:28) Building an API with FastAPI
⌨️ (29:39:10) Deploying API to the Cloud
⌨️ (29:51:35) Load Testing with Locust
Object Detection with YOLO
⌨️ (30:05:29) Introduction to Object Detection
⌨️ (30:11:39) Understanding YOLO Algorithm
⌨️ (31:15:17) Dataset Preparation
⌨️ (31:58:27) YOLO Loss
⌨️ (33:02:58) Data Augmentation
⌨️ (33:27:33) Testing
Image Generation
⌨️ (33:59:28) Introduction to Image Generation
⌨️ (34:03:18) Understanding Variational Autoencoders
⌨️ (34:20:46) VAE Training and Digit Generation
⌨️ (35:06:05) Latent Space Visualization
⌨️ (35:21:36) How GANs work
⌨️ (35:43:30) The GAN Loss
⌨️ (36:01:38) Improving GAN Training
⌨️ (36:25:02) Face Generation with GANs
Conclusion
⌨️ (37:15:45) What's Next
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In this video i will guide you through creating your AI influencer . Virtual influencers are taking the internet by storm.And some ai instagram models are making lot of money.You can also create Ai influencer in few easy steps.
First of all we will create ai models and will finalize one beautiful ai model girl. In second step we will change the environment of our virtual influencer images. In third step we will change the poses. In last step we will match the facial features of ai models.
In this way we can create hyper-realistic ai influencers.
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▶Time Stamps:
00:00 Intro
00:31 Generating Ai Model face
01:47 Change Clothes of Ai Influencer
02:19 Change Environment
02:48 Change Pose
03:20 Matching Face of Ai Influencer
04:26 Support Me
▶Support Me: buymeacoffee.com/alihassanrG
▶Negative Prompt:
(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)
▶Links:
Tensor art :https://tensor.art/models/619331836222519234
Face swap : https://discord.com/oauth2/authorize?client_id=1090660574196674713&permissions=274877945856&scope=bot
Face Swap Images For Free : https://youtu.be/QlzV7c1_DfQ?si=ecVg67fsxrSBnlUj
▶Business Inquiry/ Sponsorship
alihassanredzone@gmail.com
#aiinfluencer #aimodels #virtualinfluencers #planetai
It's Modern Warfare 3 Season 6 Launch Day and with it comes The Haunting event! We are also getting a NEW Battle Pass including the Kastov LSW (LMG) and DTIR 30-06 (Battle Rifle).
Warzone Season 6 Battle Pass 0:00
Warzone Season 6 Patch Notes 4:02:05
Warzone Season 6 Gameplay 5:27:34
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Thank you for watching the video! Here is the code:
https://github.com/gahogg/YouT....ube/tree/master/Flas
Part 2 is available here: https://youtu.be/EwegW1LDIrg
I offer 1 on 1 tutoring for Data Structures & Algos, and Analytics / ML! Book a free consultation here: https://calendly.com/greghogg/30min
Learn Python, SQL, & Data Science for free at https://mlnow.ai/ :)
Subscribe if you enjoyed the video!
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+ TensorFlow Data and Deployment: https://bit.ly/3BbC5Xb
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Timeline:
0:00:38 App Overview
0:01:45 Install Virtual Environment
0:04:53 Flask First Steps
0:08:18 Train ML Model
0:21:03 Core Functionality
0:44:17 Putting it altogether in Flask
Music: https://www.bensound.com/royalty-free-music
Sound effects: https://www.zapsplat.com
An ancient Christian tomb was discovered in 1945 when workers in Egypt found 13 leather-bound manuscripts, which revealed more information about the sect of Christians called "Gnostics," meaning they teach salvation through mystical knowledge.
This sect was ultimately destroyed by the Roman orthodox church. Their followers were burned at the stake and their writings were destroyed.
In the year 325 AD, we lost tremendous amounts of information. The emperor Constantine, in the early Christian church, with the early Christian Bible made decisions on what information to include, and what information to exclude.
What we know now is that at least 45 books were either completely taken away or tremendously edited, into what we call today our western biblical tradition.
When those edits were made we lost the information that tells us everything is connected.
Read the FULL ARTICLE HERE with Translations in all Languages: https://garylite.com/2018/08/2....8/the-lost-forbidden
The lost gospel of Thomas: http://www.marquette.edu/maqom..../Gospel%20of%20Thoma
Source: Gregg Braden - https://www.greggbraden.com/
References:
The Gospel According to Thomas, Gregg Braden, Neville Goddard
Read the FULL ARTICLE HERE with Translations in all Languages:
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#jesus #jesuschrist #gospelofthomas
#petraworshipcentre #sundayservice #pastorgracewin
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Access the Playlist: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Link to the Repl: https://replit.com/@codewithha....rry/96-Day-96-AsyncI
Join Replit the browser-based IDE used in this course - https://join.replit.com/code-with-harry-100-doc
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►Instagram: www.instagram.com/codewithharry
python, C, C++, Java, JavaScript and Other Cheetsheets [++]:
Playlist: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
►Learn in One Video[++]:
Python[15 Hr]: https://www.youtube.com/watch?v=gfDE2a7MKjA&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python Advance[3.5 Hr]: https://www.youtube.com/watch?v=61a7UkDO50s&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[1 Hr]: https://www.youtube.com/watch?v=qHJjMvHLJdg&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[2 Hr]: https://www.youtube.com/watch?v=ihk_Xglr164&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[15 Min]:https://www.youtube.com/watch?v=fr1f84rg4Nw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
JavaScript[1 Hr]: https://www.youtube.com/watch?v=onbBV0uFVpo&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
C[1.3 Hr]-https://www.youtube.com/watch?v=YXcgD8hRHYY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[1 Hr]: https://www.youtube.com/watch?v=xW7ro3lwaCI&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[2.3 Hr]:https://www.youtube.com/watch?v=1SnPKhCdlsU&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[Project]- https://www.youtube.com/watch?v=-al2bECumKg&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
HTML[30 Min]:https://www.youtube.com/watch?v=E3ByCRqE7Lo&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
CSS[8.5 Hr]:https://www.youtube.com/watch?v=Edsxf_NBFrw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
CSS[1.4 Hr]:https://www.youtube.com/watch?v=u5-K_ua9sOw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Wordpress[3.2 Hr]:https://www.youtube.com/watch?v=GlLRYml8mCY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Angular[2 Hr]:https://www.youtube.com/watch?v=0LhBvp8qpro&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Java[2.3 Hr]:https://www.youtube.com/watch?v=rV_3Lewxx6o&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Web Scraping[1 Hr]:https://www.youtube.com/watch?v=uufDGjTuq34&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
MongoDB[2 Hr]:https://www.youtube.com/watch?v=oSIv-E60NiU&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Numpy[1 Hr]:https://www.youtube.com/watch?v=Rbh1rieb3zc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Android Dev[12 Hr]- https://www.youtube.com/watch?v=mXjZQX3UzOs
Linux[1 Hr]:https://www.youtube.com/watch?v=_tCY-c-sPZc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
JQuery[1.1 Hr]:https://www.youtube.com/watch?v=YFlx1C8XwR0&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Git and GitHub[1.1 Hr]:https://www.youtube.com/watch?v=gwWKnnCMQ5c&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
►Complete course [playlist]:
React: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
OOP Python-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
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Git & GitHub-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Android Dev- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python GUI- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Web Development- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python Django:https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Projects Using HTML, CSS & Javascript- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Data Structure and Algo:https://www.youtube.com/playli....st?list=PLu0W_9lII9a
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India's central bank has moved around a 100 tonnes, or 1 lakh kilograms of gold from the United Kingdom back to its vaults in India, and intends to move more in coming months.
RBI faced severe criticism back in 1991 when it was forced to pledge part of its gold reserves as the country was undergoing a foreign exchange crisis. This is the first time since 1991 that India has moved such a heavy scale of gold.
#RBI #RBIGold #India #UK #news18
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Russia’s President Putin has warned that if the UK goes ahead with plans to supply Ukraine with shells containing depleted uranium, then Russia will be forced “to respond”.
The warning came on the second day of a visit to Moscow by China’s President Xi.
Vladimir Putin told the UK that Russia would be “forced to take action accordingly” if the UK supplies the weapons. He suggested it amounted to an escalation towards the use of nuclear arms.
In response the UK said depleted uranium had been used in munitions for decades and had nothing to do with nuclear weapons.
Depleted uranium’s great density and mass mean it can add to the effectiveness of armour-piercing weapons. However its use is controversial as the metal is radioactive and poisonous to humans and animals.
Huw Edwards presents BBC News at Ten reporting by Russia Editor Steve Rosenberg in Moscow.
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Top 8 python modules that you need to know for data science in 2023. I will go over each of these modules and also share learning resources for the same
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In this lecture we are discussing:
#1 What is framework ?
#2 what is different framework in differnt languages ?
#3 What is django ?
#4 Why we choose django ?
#5 What is MVC ?
#6 What is MVT ?
#1 What is framework ?
-- A framework is a collection of libraries and modules that can be used to develop software applications.
-- if you want to build a complex application then framework is the best option for you.
-- Frameworks are used to make our work easy and fast.
-- Frameworks are used to make our application dynamic and secure.
#2 what is different framework in differnt languages ?
-- in java we have spring framework
-- in php we have laravel framework
-- in javascript we have node.js framework
-- in python we have django framework
-- there are many other frameworks in different languages.
#3 What is django ?
-- django is a free and open source framework of python which is used to develop web applications.
It is a high-level python web framework that encourages rapid development.
-- django is a mvt framework. mvt stands for model, view, template.
#4 why we choose django?
1) fast 2) components
3) security 4) scalability
5) easy to learn 6) easy to use
7) easy to maintain 8) easy to deploy
Note:
if you want to build complex application then django is the best framework for you.
django is not only framework but there are many other frameworks like flask, pyramid, bottle, web2py, etc.
#5 What is MVC ?
-- MVC stands for model view controller.
-- it is a software design pattern for implementing user interfaces on computers.
-- it divides a given software application into three interconnected parts.
#6 What is MVT ?
-- MVT stands for model view template.
-- it is a software design pattern for implementing user interfaces on computers.
-- django is a mvt framework.
Django Full Course Playlist : https://bit.ly/2HL05Vx
Python Tutorials for beginner : https://bit.ly/2qfhUCp
Django is a high-level Python-based free and open-source web framework, which follows the model-view-template (MVT) architectural pattern.
It is maintained by the Django Software Foundation (DSF).
Django's primary goal is to ease the creation of complex, database-driven websites.
Some well-known sites that use Django include the Public Broadcasting Service, Instagram, Mozilla, The Washington Times, Disqus, Bitbucket, and Nextdoor.
In this video we will see:
What is Framework
Why to use Django Framework
Static and dynamic website
How Django can be used
What is MVT in Django
Github :- https://github.com/navinreddy20/Python-
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Home Office consultation to respond to by 9 April: https://www.gov.uk/government/....calls-for-evidence/c
English Shooting channel video: https://www.youtube.com/watch?v=G4jKEszZiVE
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From the new album ‘Street Worms’ out 28th September: https://vb.lnk.to/streetwormsYD
Listen to ‘Sports’: http://vb.lnk.to/vbsportsYD
Pre-order 'Street Worms' and surf the web
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--
Director: Simon Jung
DOP: Paul Evans
Producer: Manga Minja
Production Company: Diktator
Executive Producer: Diktator/YEAR0001
1AC: Isak Lennström
2AC: Ollie Nordh
Sound & Sound design: Charlie Persson
Hair and makeup: Alice Lönnblad
Production assistant: Henrik Grill
Judge: Torbjörn Ström
Tennis Player: Jenny Vogel
Edit: Simon Jung
Grade: Sabina Törnberg, Media Monks
Online: Anders Bergén, The Line
Die Hanfverband-Videonews vom 07.04.2023
0:00 Intro
0:29 Vorbemerkung GMM
2:26 Lauterbach: "neuer Vorschlag unmittelbar nach Ostern"
11:26 Koalitionsvertrag von CDU und SPD in Berlin
20:42 Wissenschaftler: Appell und Vorschläge zur Evaluierung
27:26 Stellungnahme Grotenhermen: Cannabisblüten versus -extrakte
28:29 Ortsgruppen-Funk
29:06 Termine
Die Tonspur der Sendung steht hier als Audio-Podcast zum downloaden oder direkt hören zur Verfügung:
https://hanfverband.de/file/dh....vnews375podcast07042
====
*DHV-Diamantsponsoren*
AVAAY Medical
https://avaay.de/
Drehandel
https://drehandel.de/
*Vorbemerkung*
GMM Deutschland
https://gmm-deutschland.de/
*Lauterbach: "neuer Vorschlag unmittelbar nach Ostern"*
Jung & Naiv Youtube, 05.04.2023: "Arzneimittel-Lieferengpässe & Aktuelle Gesetzesvorhaben" mit Karl Lauterbach - BPK | 5. April 2023
https://www.youtube.com/watch?v=uRKlUcNgHDg
Dirk Heidenblut, Carmen Wegge Instagram, 03.04.2023: Talk zur Legalisierung
https://www.instagram.com/tv/CqlYai3hTQB/
*Koalitionsvertrag von CDU und SPD in Berlin*
Koalitionsvertrag CDU/SPD Berlin 2023
https://berlin-hilft.com/wp-co....ntent/uploads/2023/0
Jung & Naiv, 10.08.2021: Kai Wegner (CDU) - Berlins nächster Regierender Bürgermeister? - Jung & Naiv: Folge 526
https://www.youtube.com/watch?v=22BlxthC-kY
Tagesspiegel, 31.07.2015: Görlitzer Park in Berlin-Kreuzberg: Null Erfolg mit null Toleranz gegen Drogenhandel
https://www.tagesspiegel.de/be....rlin/bezirke/null-er
*Wissenschaftler: Appell und Vorschläge zur Evaluierung*
diverse Wissenschaftler: Whitepaper zur Evaluation der Einführung der regulierten Cannabisvergabe an Erwachsene zu Genusszwecken in Deutschland, Stand: 28. März 2023
https://box.bigsss-bremen.de/i....ndex.php/s/LCoEzzNQx
Justus Haucap Twitter, 04.04.2023: Whitepaper: Evaluation der #Cannabis-Legalisierung
https://twitter.com/haucap/sta....tus/1643220519477542
DHV Youtube, 19.08.2022: CaNoKo22: Wie messen wir den Erfolg? - Die Evaluierung der Legalisierung
https://www.youtube.com/watch?v=CxUbXj4lPgo
*Stellungnahme Grotenhermen: Cannabisblüten versus -extrakte*
Franjo Grotenhermen, 01.04.2023: Wissenschaftliche Stellungnahme: Cannabisblüten versus -extrakte
https://www.datocms-assets.com..../58349/1680374599-st
*Ortsgruppen-Funk*
ohne öffentliche Quellen
*Termine*
Alle Infos zu den Terminen findet ihr hier:
http://hanfverband.de/nachrichten/termine
Darmstadt: Offener Hanftisch der DHV-Ortsgruppe
Freitag, 7. April 2023 - 19:00
Oldenburg: Let's talk about Hanf!
Freitag, 7. April 2023 - 19:00
Regensburg: Infostand der DHV-Ortsgruppe
Samstag, 8. April 2023 - 12:00 bis 18:00
Hamburg: Stammtisch der DHV-Ortsgruppe
Donnerstag, 13. April 2023 - 19:00
München: Online-Treffen der DHV-Ortsgruppe München
Donnerstag, 13. April 2023 - 19:00
Freiburg: Infostand der DHV-Ortsgruppe
Samstag, 15. April 2023 - 10:00 bis 16:00
Heidelberg: Infotisch zum Thema 'Hanf als Rohstoff, Medizin und Genussmittel'
Samstag, 15. April 2023 - 11:00 bis 16:00
Regensburg: Infostand der DHV-Ortsgruppe
Samstag, 15. April 2023 - 12:00 bis 18:00
Halle/Saale: Orgatreffen der DHV-Ortsgruppe zum GMM
Montag, 17. April 2023 - 15:00
Heidelberg: Offener Hanftisch des Hanfverband Rhein-Neckar
Dienstag, 18. April 2023 - 19:00
Hamburg: Online Klönschnack
Dienstag, 18. April 2023 - 20:00
420 Smoke In Berlin
Donnerstag, 20. April 2023 - 14:00 bis 18:00
Darmstadt: Offener Hanftisch der DHV-Ortsgruppe
Freitag, 21. April 2023 - 19:00
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Learn how the announcement trailer came to life from storyboard to the final video in our second Behind the Scenes episode.
Are you ready to master the apocalypse? Add Exoborne, the new game from @Sharkmob and @lvlinfinite to your wishlist today!
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