Tutorial 2- Installing Julia And Running In Jupyter Notebook
Skills:
ML Pipelines50%
Key Takeaways
Installs Julia and runs it in Jupyter Notebook
Original Description
https://julialang.org/
Julia is a high-level, high-performance, dynamic programming language. While it is a general purpose language and can be used to write any application, many of its features are well-suited for numerical analysis and computational science
Distinctive aspects of Julia's design include a type system with parametric polymorphism in a dynamic programming language; with multiple dispatch as its core programming paradigm. Julia supports concurrent, (composable) parallel and distributed computing (with or without using MPI and/or the built-in corresponding[clarification needed][20] to "OpenMP-style" threads),
and direct calling of C and Fortran libraries without glue code. Julia uses a just-in-time (JIT) compiler that is referred to as "just-ahead-of-time" (JAOT) in the Julia community, as Julia compiles (on default settings) to machine code before running it.
⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for a few months and I love it! https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=krishnaik&utm_content=description-only
All Playlist In My channel
Complete ML Playlist :https://www.youtube.com/playlist?list=PLZoTAELRMXVPBTrWtJkn3wWQxZkmTXGwe
Complete NLP Playlist:https://www.youtube.com/playlist?list=PLZoTAELRMXVMdJ5sqbCK2LiM0HhQVWNzm
Docker End To End Implementation: https://www.youtube.com/playlist?list=PLZoTAELRMXVNKtpy0U_Mx9N26w8n0hIbs
Live stream Playlist: https://www.youtube.com/playlist?list=PLZoTAELRMXVNxYFq_9MuiUdn2YnlFqmMK
Machine Learning Pipelines: https://www.youtube.com/playlist?list=PLZoTAELRMXVNKtpy0U_Mx9N26w8n0hIbs
Pytorch Playlist: https://www.youtube.com/playlist?list=PLZoTAELRMXVNxYFq_9MuiUdn2YnlFqmMK
Feature Engineering :https://www.youtube.com/playlist?list=PLZoTAELRMXVPwYGE2PXD3x0bfKnR0cJjN
Live Proje
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Playlist
Uploads from Krish Naik · Krish Naik · 0 of 60
← Previous
Next →
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
Natural Language Processing|Stemming
Krish Naik
Natural Language Processing|BagofWords
Krish Naik
Gaussian distribution or Normal Distribution in statisctics
Krish Naik
Natural Language Processing|TF-IDF for Machine Learning| Text Prerocessing
Krish Naik
Log Normal Distribution in Statistics
Krish Naik
Covariance in Statistics
Krish Naik
Confusion matrix, Precision, Recall| Data Science Interview questions
Krish Naik
Tutorial 44-Balanced vs Imbalanced Dataset and how to handle Imbalanced Dataset
Krish Naik
Implementing a Spam classifier in python| Natural Language Processing
Krish Naik
Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset
Krish Naik
Face Recognition using open CV and VGG 16 Transfer Learning
Krish Naik
Pedestrian Detection using OpenCV from Videos
Krish Naik
Face and Eye Detection from Videos using HAAR Cascade Classifier
Krish Naik
Reading, Writing and Displaying images with Opencv| OpenCV Tutorial
Krish Naik
OpenCV Installation | OpenCV tutorial
Krish Naik
Face and Eye Detection from Images using HAAR Cascade Classifier
Krish Naik
Car Detection using HAAR Cascade and Opencv from Videos.
Krish Naik
Using OpenFace for Face recognition in Keras
Krish Naik
OpenPose Tutorial with Tensorflow
Krish Naik
Multiple Linear Regression using python and sklearn
Krish Naik
Dimensional Reduction| Principal Component Analysis
Krish Naik
Movie Recommender System using Python
Krish Naik
TPR,FPR,FNR,TNR, Confusion Matrix
Krish Naik
Precision, Recall and F1-Score
Krish Naik
Artificial Neural Network for Customer's Exit Prediction from Bank
Krish Naik
GridSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik
RandomizedSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik
K Nearest Neighbor classification with Intuition and practical solution
Krish Naik
K Means Clustering Intuition
Krish Naik
Create custom Alexa Skill- Lambda function- Part2
Krish Naik
Hierarchical Clustering intuition
Krish Naik
Implement Transfer Learning with a generic Code Template
Krish Naik
Gender Classifier and Age Estimator using Resnet Convolution Neural Network
Krish Naik
Unlock Your Application With Your Face using OpenCV
Krish Naik
Draw rectangle from webcam and sketch process it on a live feed
Krish Naik
Complete Life Cycle of a Data Science Project
Krish Naik
How we can apply Machine Learning in Finance
Krish Naik
Deep Learning in Medical Science
Krish Naik
How to switch your career to Data Science.
Krish Naik
Linear Regression Mathematical Intuition
Krish Naik
Handle Categorical features using Python
Krish Naik
Machine Learning Algorithm- Which one to choose for your Problem?
Krish Naik
DBSCAN Clustering Easily Explained with Implementation
Krish Naik
Curse of Dimensionality Easily explained| Machine Learning
Krish Naik
Feature Selection Techniques Easily Explained | Machine Learning
Krish Naik
Tutorial 29-R square and Adjusted R square Clearly Explained| Machine Learning
Krish Naik
Cross Validation using sklearn and python | Machine Learning
Krish Naik
Handling Missing Data Easily Explained| Machine Learning
Krish Naik
Deploy Machine Learning Model using Flask
Krish Naik
Deployment of Deep Learning Model using Flask
Krish Naik
How to Visualize Multiple Linear Regression in python
Krish Naik
K Nearest Neighbour Easily Explained with Implementation
Krish Naik
Predicting Heart Disease using Machine Learning
Krish Naik
Predicting Lungs Disease using Deep Learning
Krish Naik
Stock Sentiment Analysis using News Headlines
Krish Naik
Random Forest(Bootstrap Aggregation) Easily Explained
Krish Naik
Voting Classifier(Hard Voting and Soft Voting Classifier)
Krish Naik
Credit Card Fraud Detection using Machine Learning from Kaggle
Krish Naik
Hyperparameter Optimization for Xgboost
Krish Naik
Tutorial 45-Handling imbalanced Dataset using python- Part 1
Krish Naik
More on: ML Pipelines
View skill →
Related Reads
📰
📰
📰
📰
Introduction Data Science and Machine Learning
Medium · Data Science
AgriScore: An Explainable AI Credit Scoring System for Smallholder Farmers
Medium · Machine Learning
AgriScore: An Explainable AI Credit Scoring System for Smallholder Farmers
Medium · Data Science
The Sophistication Trap: Why the Smarter AI Technique Keeps Losing
Medium · Machine Learning
🎓
Tutor Explanation
DeepCamp AI