All in one place: the best AI course you’ve ever watched!

You can now enjoy all 6.5 hours of Google’s legendary AI course designed to enlighten AI beginners, grow technology leaders, inform better citizens, and amuse AI experts!

This video is the feast version. If you prefer to learn in bite-sized nibbles, you can find the individual chapters as short videos on the http://bit.ly/mf-ml playlist. The episode guide is in the top right hand corner of every video.

Don't forget to hit subscribe+notify! If you found this video useful or enjoyable, the best way to say thank you is by sharing it.

Looking for hands-on ML/AI tutorials? Here are some of my favorite 10 minute walkthroughs:

AutoML - https://console.cloud.google.c....om/?walkthrough_id=a
Vertex AI - https://bit.ly/kozvertex
AI notebooks - https://bit.ly/kozvertexnotebooks
ML for tabular data - https://bit.ly/kozvertextables
Text classification - https://bit.ly/kozvertextext
Image classification - https://bit.ly/kozverteximage
Video classification - https://bit.ly/kozvertexvideo

So how do you get started with machine learning and AI? What should you learn first? Well in this video I will be discussing the exact things you need to learn to get started with machine learning. I'll be talking about which language to learn, how much math you need and what ML algorithms to learn first.

⭐️ Thanks to Kite for sponsoring this video! Download the best AI automcolplete for python programming for free: https://kite.com/download/?utm_medium=referral&utm_source=youtube&utm_campaign=techwithtim&utm_content=how-to-get-started-with-machine-learning

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#AI #MachineLearning

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Artificial intelligence is emerging now and many companies are adopting it.
Many developers have concern about how and where to learn AI.

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In this video we will see
- How to learn Artificial intelligence for free
- Three things most important: petience , commmitment and time
- Prerequisite to learn Artificial intelligence
- Programming language
- Maths
- Time or duration to learn
- Efforts
- Where to learn from
- Some of the suggestions: Edx, Coursera, Udacity
- Courses on Artificial intelligence

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More Learning :

Python for Beginners :- https://bit.ly/3x2g23h
Django Tutorial for Beginners :- https://bit.ly/3GyNqS6

JavaScript Tutorial for Beginners :- https://bit.ly/3NGR3ba
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Data Structures using Java :- https://bit.ly/3t5HPNY
Data Structures using C :- https://bit.ly/3GBLoAE
Kotlin Tutorial:- https://bit.ly/3x1kOfV
Git Tutorial for Beginners:- https://bit.ly/3NMbmUw
C Programming Tutorial :- https://bit.ly/3x4bA45

You should take a look at the Machine Learning Crash Course from Google. You might just like it!
https://developers.google.com/....machine-learning/cra

Another video:
Should you really do 10000 steps a day? https://youtu.be/gY8dom3TwMY

3 Data Science Learning Platforms I would recommend

1. Data Quest - https://bit.ly/3yClqbZ (my favourite)
2 Codeacademy - https://www.pntra.com/t/SENKTE....5HS0pDSEpJT0pLQ0hHSU
3 365 Data Science - https://bit.ly/3hbUHdd

I have created 2 Python Courses you might like

1. Exploratory Data Analysis with Python and Pandas - https://bit.ly/2QXMpxJ
2. Complete Python Programmer Bootcamp - http://bit.ly/2OwUA09

(These contain affiliate links, which means I receive a percentage of any sales made. There is no additional cost for anybody clicking on them)


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Machine Learning is an absolutely fantastic skill to pick up. Here are some of my favorite Machine Learning courses that I have taken on Coursera.

LINKS:
Machine Learning by Andrew Ng - https://coursera.pxf.io/yRx0dD
Mathematics for Machine Learning - https://coursera.pxf.io/qnGJRn
IBM Applied AI Professional Certificate - https://coursera.pxf.io/jWjkEn
DeepLearning.AI TensorFlow Developer Professional Certificate - https://coursera.pxf.io/AoY9zR
Data Engineering, Big Data, and Machine Learning on GCP Specialization - https://coursera.pxf.io/VyjErR

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RESOURCES:

Coursera Courses:
Google Data Analyst Certification: https://coursera.pxf.io/5bBd62
Data Analysis with Python - https://coursera.pxf.io/BXY3Wy
IBM Data Analysis Specialization - https://coursera.pxf.io/AoYOdR
Tableau Data Visualization - https://coursera.pxf.io/MXYqaN

Udemy Courses:
Python for Data Analysis and Visualization- https://bit.ly/3hhX4LX
Statistics for Data Science - https://bit.ly/37jqDbq
SQL for Data Analysts (SSMS) - https://bit.ly/3fkqEij
Tableau A-Z - http://bit.ly/385lYvN

*Please note I may earn a small commission for any purchase through these links - Thanks for supporting the channel!*
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*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*

Reality behind data science jobs. Is machine learning really cool?

Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses.

🌎 My Website For Video Courses: https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description

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❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

In this course we implement the most popular Machine Learning algorithms from scratch using only Python and NumPy.

Get my Free NumPy Handbook:
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Code:
https://github.com/patrickloeber/MLfromscratch

Timeline:
00:00​ - Introduction
00:56​ - 1 KNN
23:00​ - 2 Linear Regression
43:38​ - 3 Logistic Regression
1:00:50​ - 4 Regression Refactoring
1:08:25​ - 5 Naive Bayes
1:29:11​ - 6 Perceptron
1:47:01​ - 7 SVM
2:06:33​ - 8 Decision Tree Part 1
2:17:12​ - 9 Decision Tree Part 2
2:48:00​ - 10 Random Forest
3:01:22​ - 11 PCA
3:18:43​ - 12 K-Means
3:48:15​ - 13 AdaBoost
4:15:53​ - 14 LDA
4:38:10​ - 15 Load Data From CSV

You can find me here:
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#Python #MachineLearning

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Join me on #100DaysOfML and follow along to learn machine learning!

Start from day 0: https://youtube.com/playlist?l....ist=PLVBat3Ko2nN9z2L

Machine Learning is one of the best skills that you can learn in 2022, especially if you are already in tech. This video will show you exactly how to get started and also I've created a dedicated website so that you guys can easily follow along! There are many stages involved when it comes to learning ML but it doesn't have to be daunting, so it really helps to have a plan. I've broken down the process into 6 different stages.

Stage 1: Math, Linear Algebra
Stage 2: Python
Stage 3: Basic Machine Learning
Stage 4: Advanced Machine Learning
Stage 5: Deep Learning
Stage 6: Projects

This entire process can take on average up to 6-12 months and this is an excellent way to learn while building a really strong foundation!

------------------------------------------------------------------------------
Discord Link for School Of Machine Learning:
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-------------------------------------------------------------------------
LINKS:
--------------------------------------------------------------------------
🖊 Machine Learning Roadmap 2022:
https://bit.ly/LearnML2022

--------------------------------------------------------------------------
MORE VIDEOS:
--------------------------------------------------------------------------
📌I'm Starting My Machine Learning Company (Day 1)
https://youtu.be/lh_wyUrjS9k

📌Top Machine Learning Certifications For 2021
https://youtu.be/YhXzUZGKhIY

📌Why You Should NOT Learn Machine Learning!
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📌How I Learnt Machine Learning In 6 Steps (3 months)
https://youtu.be/OuC3wgp1Fnw

📌How To Learn Machine Learning For Free
https://youtu.be/QNKYKzTGerA
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Ready to explore machine learning and artificial intelligence in python? This python machine learning and AI mega course contains 4 different series designed to teach you the ins and outs of ML and AI. It talks about fundamental ML algorithms, neural networks, creating AI chat bots and finally developing an AI that can play the game of Flappy Bird.

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⭐ RESOURCES ⭐
IMPORTANT: The text-based guides will have download links for files or datasets needed.

1⃣ Machine Learning for Beginners
💻 Text-Based Guide: https://techwithtim.net/tutori....als/machine-learning
💾 UCI Student Data Set: https://archive.ics.uci.edu/ml..../datasets/Student+Pe
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2⃣ Neural Networks
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3⃣ Simple AI Chat Bot
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🎥 Course 1: Machine Learning for Beginners 🎥
⌨️ (0:00) Course Introduction
⌨️ (00:02:30) Introduction to Machine Learning & Environment Setup
⌨️ (00:12:24) Linear Regression Part 1 – Data Loading and Analysis
⌨️ (00:26:28) Linear Regression Part 2 – Implementation and Algorithm Explanation
⌨️ (00:42:50) Saving Models and Visualizing Data
⌨️(00:56:05) K-Nearest Neighbors Part 1 – Irregular Data
⌨️ (01:08:16) K-Nearest Neighbors Part 2 – Algorithm Explanation
⌨️ (01:21:33) K-Nearest Neighbors Part 3 – Implementation
⌨️ (01:31:54) Support Vector Machines Part 1 - SkLearn Datasets and Analysis
⌨️ (01:38:34) Support Vector Machines Part 2 – Algorithm Explanation
⌨️ (01:52:21) Support Vector Machines Part 3 – Implementation
⌨️(02:01:57) K-Means Clustering – Algorithm Explanation
⌨️ (02:15:11) K-Means Clustering - Implementation

🎥 Course 2: Neural Networks 🎥
⌨️ (02:27:07) Introduction to Neural Networks
⌨️ (02:53:47) Loading & Looking at Data
⌨️ (03:06:50) Creating a Model
⌨️ (03:24:05) Using and Testing Our Model
⌨️ (03:33:56) Text Classification Part 1 – Data Analysis and Model Architecture
⌨️ (03:55:23) Text Classification Part 2 – Embedding Layers
⌨️ (04:09:43) Text Classification Part 3 – Training the Model
⌨️ (04:19:49) Text Classification Part 4 – Saving and Loading Models

🎥 Course 3: AI Chat Bot 🎥
⌨️ (04:34:35) Part 1
⌨️ (04:50:28) Part 2
⌨️ (05:02:39) Part 3
⌨️ (05:14:32) Part 4
⌨️ (05:30:34) Part 5

🎥 Course 4: Neuroevolutionary Algorithm Plays Flappy Bird 🎥
⌨️ (05:39:16) Creating the Bird
⌨️ (05:51:36) Moving the Bird
⌨️ (06:10:04) Pixel Perfect Collision
⌨️ (06:29:22) Finishing the Graphics
⌨️ (06:41:16) NEAT Introduction and Configuration File
⌨️ (07:01:36) Implementing NEAT and Fitness Functions
⌨️ (07:16:32) Testing and Saving Models

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Tags:
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#Python #MachineLearning #AI

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Machine Learning Full Course for Beginners | Machine Learning Tutorial | Machine Learning Course
Hello and welcome to the Machine Learning Full Course for Beginners using python. In this video, you will learn from basics to advanced machine learning concepts from Great Learning’s top faculties, including professor Mukesh Rao, Bharani Akella & many other leading industry experts. If you are an enthusiast who wants to start with machine learning from scratch, this machine learning beginner video is the best to start with.
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Agenda:
• Python for Machine Learning
• Role of Statistics in Machine Learning
• Introduction to Machine Learning and its types
• How does a Machine learning model learn?
• Supervised and Unsupervised learning algorithms
• Principal component analysis for dimensionality reduction
• Application of Machine Learning

Topics Covered:
00:01:09 – What Is Machine learning? (Introduction to Machine Learning)
00:03:00 – Why Machine Learning?
00:04:22 – Road Map to Machine Learning
00:01:09 – How to Use Kaggle (www.kaggle.com)
Machine Learning with Python (Python Libraries for Machine Learning)
00:11:25 - NumPy Python Tutorial (How to Create NumPy Array)
00:14:58 - How to Initialize NumPy Array
00:22:19 - How to check the shape of NumPy arrays
00:24:42 - How to Join NumPy Arrays
00:28:15 - NumPy Intersection & Difference
00:31:50 - NumPy Array Mathematics
00:39:15 - NumPy Matrix
00:42:28 - How to Transpose NumPy Matrix
00:43:21 - NumPy Matrix Multiplication
00:45:45 - NumPy Save & Load
00:47:44 - Python Pandas Tutorial
00:48:09 - Pandas Series Object
00:58:44 - Pandas Dataframe
01:12:00 - Matplotlib Python Tutorial
01:12:12 - Line plot
01:26:32 - Bar plot
01:32:37 - Scatter Plot
01:40:35 - Histogram
01:46:16 - Box Plot
01:51:03 - Violin Plot
01:51:57 - Pie Chart
01:56:39 - DoughNut Chart
01:59:04 - SeaBorn Line Plot
02:07:27 - SeaBorn Bar Plot
02:15:15 - SeaBorn ScatterPlot
02:20:25 - SeaBorn Histogram/Distplot
02:26:52 - SeaBorn JointPlot
02:30:23 - SeaBorn BoxPlot
02:38:59 – Role of Mathematics in Data Science
02:40:23 – What is data?
02:42:34 – What is Information?
02:43:21 – What is Statistics?
02:43:58 – What is Population?
02:46:48 – What is Sample?
02:47:33 – What are Parameters?
02:47:55 – Measures of Central Tendency
02:51:10 – Understanding Empirical Rule
02:53:16 – What is Mean, median, and mode?
02:57:04 – Measures of Spread (Understanding Range, Inter Quartile Range & Box-plot)
03:12:56 – Types of Machine Learning (Supervised, Unsupervised & Reinforcement Learning)
03:27:43 – How does a Machine Learning Model Learn?
03:35:31 – Supervised Machine Learning (Mukesh Rao)
04:34:51 – Python for Machine Learning
04:46:40 – Linear Regression Algorithm (Hands-on)
05:21:13 – What is Logistic Regression
05:29:39 – Linear Regression vs Logistic Regression
05:40:15 – Naïve Bayes Algorithm
05:49:32 – Diabetes Prediction using Naïve Bayes
06:15:18 – Decision Tree and Random Forest Algorithm
07:55:01 – Introduction to Support Vector Machines (SVMs)
08:07:08 – Kernel Functions
08:11:56 – Advantages & Disadvantages of SVMs
08:31:37 – K-NN Algorithm (K-Nearest Neighbour Algorithm)
08:40:13 – Introduction to Unsupervised Learning - Clustering
08:48:35 – Introduction to Principal Component Analysis
09:09:39 – PCA for Dimensionality Reduction
09:15:27 – Introduction to Hierarchical Clustering
09:28:38 – Types of Hierarchical Clustering
09:34:02 – How does Agglomerative hierarchical clustering work
09:42:32 – Euclidean Distance
09:45:10 – Manhattan Distance
09:48:01 – Minkowski Distance
09:50:02 – Jaccard Similarity Coefficient/Jaccard Index
09:54:02 – Cosine Similarity
09:58:18 – How to find an optimal number for clustering
10:03:02 – Applications Machine Learning

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For more updates on courses and tips, follow us on:
Telegram: https://t.me/GreatLearningAcademy
Facebook: https://www.facebook.com/GreatLearningOfficial/
LinkedIn: https://www.linkedin.com/schoo....l/great-learning/myc
Follow our Blog: https://glacad.me/GL_Blog

Introduction to Statistical Learning: https://statlearning.com

Roadmap to Become a Data Scientist / Machine Learning Engineer in 2022: https://youtu.be/lHKlCqx94OY

Roadmap to Become a Data Analyst in 2022: https://youtu.be/024KMhTKlVs

Roadmap to Become a Data Engineer in 2022: https://youtu.be/ztGB-__Yg7w


Here's my favourite resources:

Best Courses for Analytics:
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+ IBM Data Science (Python): https://bit.ly/3Rn00ZA
+ Google Analytics (R): https://bit.ly/3cPikLQ
+ SQL Basics: https://bit.ly/3Bd9nFu


Best Courses for Programming:
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+ Data Science in R: https://bit.ly/3RhvfFp
+ Python for Everybody: https://bit.ly/3ARQ1Ei
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Best Courses for Machine Learning:
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+ Math Prerequisites: https://bit.ly/3ASUtTi
+ Machine Learning: https://bit.ly/3d1QATT
+ Deep Learning: https://bit.ly/3KPfint
+ ML Ops: https://bit.ly/3AWRrxE


Best Courses for Statistics:
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+ Introduction to Statistics: https://bit.ly/3QkEgvM
+ Statistics with Python: https://bit.ly/3BfwejF
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Best Courses for Big Data:
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+ Google Cloud Data Engineering: https://bit.ly/3RjHJw6
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More Courses:
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+ Tableau: https://bit.ly/3q966AN
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+ Computer Vision: https://bit.ly/3esxVS5
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+ TensorFlow Advanced Techniques: https://bit.ly/3BePQV2
+ TensorFlow Data and Deployment: https://bit.ly/3BbC5Xb
+ Generative Adversarial Networks / GANs (PyTorch): https://bit.ly/3RHQiRj


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#machinelearning #datascience #statistics #datascience

This Complete Machine Learning Course video will help you understand and learn Machine Learning in detail. This Machine Learning Tutorial is ideal for both beginners as well as professionals who want to master Machine Learning concepts & practice.

All presentation files for the Machine Learning course as PDF for as low as ₹200 (INR): https://forms.gle/VeD1hi5e2n6Ced236

Github repository link for Colab Notebooks: https://github.com/siddhardhan....23/Complete-Machine-

All Datasets Link: https://drive.google.com/drive..../folders/1NEs0rpFelf

Timestamp for the topics covered in this Machine Learning Course video:

00:00 Introduction
4:22 AI vs ML vs DL
9:40 Types of Machine Learning
16:05 Supervised Learning & its Types
21:34 Unsupervised Learning & its Types
27:55 Deep Learning
36:11 Google Colaboratory - basics
45:53 Python Basics
1:08:36 Basic Data types in Python
1:28:40 List, Tuple, Set, Dictionary
1:55:36 Operators in Python
2:14:50 If Else Statement in Python
2:28:42 Loops in Python
2:44:20 Functions in Python
2:59:16 Numpy Tutorial
3:44:03 Pandas Tutorial
4:33:06 Matplotlib Tutorial
5:01:25 Seaborn Tutorial
5:37:34 Data Collection for ML
5:50:46 Importing datasets through Kaggle API
6:05:15 Handling Missing Values
6:29:58 Data Standardization
6:49:30 Label Encoding
7:06:56 Train Test Split
7:19:16 Handling Imbalanced Dataset
7:38:24 Feature Extraction of Text data
7:52:03 Numerical dataset processing
8:11:42 Textual data Processing
8:47:12 ML Use case 1: Rock vs Mine Prediction
9:35:35 ML Use case 2: Diabetes Prediction
10:38:53 ML Use case 3: Spam Mail Prediction


Machine Learning Projects Playlist: https://youtube.com/playlist?l....ist=PLfFghEzKVmjvuSA

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Cute Baby Animals 4K Video Ultra HD | Wildlife 4K UHD | Cinematic Video

There is nothing sweeter and more beautiful than children. Babies of all animals look very helpless, charming and funny.

Subscribe to our channel, let's travel around the world together!

Thanks for watching! ☺
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More our videos:

Macro in Nature 4K: https://youtu.be/qnL1PP12KzU

Pink Flamingo 4K Video: https://youtu.be/AdFnYJZooF8

Hong Kong 4K Video: https://youtu.be/822UfcAUKGw

The Dolomites 4K: https://youtu.be/1XjbvpzuD1s

Tokyo 4K Video: https://youtu.be/gaN1H4V_nqg

Poland 4K Video: https://youtu.be/zCRv8haPwNs

Seychelles 4K Video: https://youtu.be/xCFU8m1czc0

Rio de Janeiro 4K: https://youtu.be/q84F3zT9Y74

Prague 4K Video: https://youtu.be/7id2ZJn8cgY

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Georgia 4K Video: https://youtu.be/VZ3M7uZ4IyE
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Westlife - You Raise Me Up (Official 4K Video)
Stream and download here: https://Westlife.lnk.to/Streaming
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WATCH UPTOWN GIRL MUSIC VIDEO ► http://smarturl.it/Westlife_UTG
WATCH IF I LET YOU GO MUSIC VIDEO ► http://smarturl.it/Westlife_IILYG
WATCH FLYING WITHOUT WINGS MUSIC VIDEO ► http://smarturl.it/Westlife_FWOW
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Lyrics

When I am down and, oh my soul, so weary
When troubles come and my heart burdened be
Then, I am still and wait here in the silence
Until you come and sit awhile with me

You raise me up, so I can stand on mountains
You raise me up, to walk on stormy seas
I am strong, when I am on your shoulders
You raise me up... To more than I can be

You raise me up, so I can stand on mountains
You raise me up, to walk on stormy seas
I am strong, when I am on your shoulders
You raise me up... To more than I can be

You raise me up, so I can stand on mountains
You raise me up, to walk on stormy seas
I am strong, when I am on your shoulders
You raise me up... To more than I can be

You raise me up, so I can stand on mountains
You raise me up, to walk on stormy seas
I am strong, when I am on your shoulders
You raise me up... To more than I can be

You raise me up... To more than I can be

#AssassinsCreedValhalla
Hello guys, this is an Assassin's Creed Valhalla montage I made this week using the trailers of the game so far. Thank you all for the support, and stay tuned for more montages. Love y'all.

Subscribe to my other channel: https://youtube.com/MrRevenger

➤Music: My Mother Told Me

2nd music: https://www.youtube.com/watch?v=BZrxMtHWVeo&ab_channel=XandulfBeats

➤Original Trailer: https://www.youtube.com/watch?v=rKjUA...

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