Course Announcement-Complete Python With DSA Bootcamp + LEETCODE Exercises

Krish Naik · Beginner ·🧠 Large Language Models ·1y ago

Key Takeaways

Announces a course on complete Python with DSA bootcamp and LEETCODE exercises

Full Transcript

hello all my name is krishak and welcome to my YouTube channel so guys finally our course on complete python with DSA boot camp plus lead code exercise is live and thank you for all the amazing feedbacks that you have specifically given you know I've been seeing people you know they're messaging me in LinkedIn they're messaging me in WhatsApp and all and thank you for all the support uh again our main aim is to probably make this course much more affordable and provide each and everything that is probably required in terms terms of DSA so that you'll be able to crack any product based companies uh the best thing about this particular course is that in this course we have included theoretical intuition practical implementation along with that we have also shown you uh we have taught in such a way that how we can learn data structures considering visualization in mind that is the most important thing so that you'll be able to solve any kind of problems right so let me just talk about this particular course what all things you have and what all things you can expect in the upcoming two months months in this specific course itself so currently you will be able to see uh this course is somewhere around 54 hours total length and here uh I'm including both python python complete boot camp along with DSA so everything that is related to python that will also get uploaded anything that is related to DSA that will also get uploaded so right now 54 hours is a combination of all those things so if I probably go ahead and show you the detail syllabus so here you have getting started with Python programming language python control flow then inbuilt data structures functions in Python flowchart and problem solving then you have inbuilt data structure practice question searching sorting algorithms binary search practices so here lot of practice questions more than 120 plus are there and our plan is to just go ahead and add more 100 plus and those kind of exercises will also be provided with Solutions right so here you have file handling in Python exceptional handling oops then you have recursions recursion array search and sort using recursion recursion with Rings uh time complexities link list link list practice questions Stacks cues trees binary trees binary searry hash Maps graph dynamic programming along with that data visualization many more things has been also uploaded as we go ahead more things more topics related to dynamic programming is going to come up graph is going to come up and we are going to solve multiple questions itself some people had also requested for w link list and all so that is also getting recorded and I think within a week time you should be able to see that particular video so this course is also going to get updated as we go ahead but our main aim is to upload each and everything that is required at least that you should at least know so that you'll be able to crack any product based companies at least the first two rounds where it is really important okay so all those things we are already covering it and the next thing that I really want to talk about is binary like all the practice questions that you'll be able to see this will have um if you probably use udmi right so you'll get this kind of platforms you know and in this platform you'll be able to write the code you'll be able to check the syntax everything over there itself so everything has been included more practice questions has been included and more practice questions is also going to come up so currently you'll be able to see that just in couple of days more than 1500 students has got enrolled and the best thing is that people have liked this so much if I just go ahead and click on rating right now the rating has not got updated but here you can see 44 ratings and all are five star this is the most amazing thing that I've actually seen and we will be working for this thing itself we'll be taking each and every feedback from exercises from Solutions each and everything okay now coming to the next thing the mentors will be myself yes I have some good amount of content with respect to python that is recorded and then we have mang Agarwal who is also a very good amazing Mentor because he cracked multiple product based companies he's an expert in DSA he's an expert even in data science he's having good amount ount of knowledge and you'll be able to see this is all his information that he you have over here he's worked with companies like Goldman stat M tickle o rooms so these are like all product based companies and their DSA was specifically as and that entire experience is put up over here right and uh here you can see and about me I hope everybody knows and I and you all are loving obviously my all the courses that we have specifically launched in youri right so um yeah right now this course fees is just $3.99 you know so let me me do one thing let me just reload it back so this is the coupon code and this coupon code I will go ahead and provide you in the description of this particular video last 2 days left uh for this 399 rupees coupon and again as I said uh here you have just launching this one is like having 54 hours of content but as we go ahead more and more 20 to 30 hours of content will still be added now the most amazing announcement see guys uh I've been recording all these udmi courses and we are going to come up with many many any courses with respect to mlops like big data engineer and computer vision so that is the next courses that I'll be coming up but the most important thing is that soon we are also going to start live sessions which will be completely free you know where we are going to talk about the udmi courses whatever queries you have whatever projects we are basically discussing whatever things we are going to do so considering that we are going to include all those particular live sessions and those live session will be available for everyone those who take Udi or do not take Udi right so this is the best thing that we are trying to do and then I'm working out you have to just give me some days I know everybody is really eager to learn many things itself just give us some day because I need to make sure that we have that right kind of platform set for doing each and everything right so I hope uh you like this particular video uh go ahead and check it out guys anyhow you have 30 days refund and just by seeing the rating I think everybody's giving five star which is fabulously amazing just go ahead and check out all the videos over there some of the free videos are also available and just let me know in the comment section so yes this was it from my side I hope hope you like this particular video I will see you in the next video thank you have a great day bye-bye

Original Description

The course will be available in 399rs INR use the below link https://www.udemy.com/course/complete-python-dsa-bootcamp/?couponCode=B7EAD4E804CA2376AFD9 -------------------------------------------------------------------------------------------- Mathematics-Basics to Advanced for Data Science And GenAI: https://www.udemy.com/course/mathematics-basics-to-advanced-for-data-science-and-ml/?couponCode=0BC9CE07C7F14A9BAC46 Complete Data Analyst Bootcamp From Basics To Advanced: https://www.udemy.com/course/complete-data-analyst-bootcamp-from-basics-to-advanced/?couponCode=9E9633C3F3BC45BE1221 Complete Machine Learning,NLP Bootcamp MLOPS & Deployment: https://www.udemy.com/course/complete-machine-learning-nlp-bootcamp-mlops-deployment/?couponCode=73CDC02770862D7A985A Complete Generative AI Course With Langchain and Huggingface: https://www.udemy.com/course/complete-generative-ai-course-with-langchain-and-huggingface/?couponCode=04BC78204F2E1F6E2BEF Building Gen AI App 12+ Hands-on Projects with Gemini Pro: https://www.udemy.com/course/building-gen-ai-app-end-to-end-projects-with-gemini-pro/?couponCode=36AFF3A73414E5CAD7F9 Complete Figma Course For UI UX: https://www.udemy.com/course/mastering-figma-from-0-to-100/?couponCode=EC7B740C0D3828F05246 Also join my discord link for all the udemy students : https://discord.gg/dCpRZNSH
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 Natural Language Processing|Stemming
Natural Language Processing|Stemming
Krish Naik
2 Natural Language Processing|BagofWords
Natural Language Processing|BagofWords
Krish Naik
3 Gaussian distribution or Normal Distribution in statisctics
Gaussian distribution or Normal Distribution in statisctics
Krish Naik
4 Natural Language Processing|TF-IDF for Machine Learning| Text Prerocessing
Natural Language Processing|TF-IDF for Machine Learning| Text Prerocessing
Krish Naik
5 Log Normal Distribution in Statistics
Log Normal Distribution in Statistics
Krish Naik
6 Covariance in Statistics
Covariance in Statistics
Krish Naik
7 Confusion matrix, Precision, Recall| Data Science Interview questions
Confusion matrix, Precision, Recall| Data Science Interview questions
Krish Naik
8 Tutorial 44-Balanced vs Imbalanced Dataset and how to handle Imbalanced Dataset
Tutorial 44-Balanced vs Imbalanced Dataset and how to handle Imbalanced Dataset
Krish Naik
9 Implementing a Spam classifier in python| Natural Language Processing
Implementing a Spam classifier in python| Natural Language Processing
Krish Naik
10 Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset
Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset
Krish Naik
11 Face Recognition using open CV and VGG 16 Transfer Learning
Face Recognition using open CV and VGG 16 Transfer Learning
Krish Naik
12 Pedestrian Detection using OpenCV from Videos
Pedestrian Detection using OpenCV from Videos
Krish Naik
13 Face and Eye Detection from Videos using HAAR Cascade Classifier
Face and Eye Detection from Videos using HAAR Cascade Classifier
Krish Naik
14 Reading, Writing and Displaying images with Opencv| OpenCV Tutorial
Reading, Writing and Displaying images with Opencv| OpenCV Tutorial
Krish Naik
15 OpenCV Installation | OpenCV tutorial
OpenCV Installation | OpenCV tutorial
Krish Naik
16 Face and Eye Detection from Images using HAAR Cascade Classifier
Face and Eye Detection from Images using HAAR Cascade Classifier
Krish Naik
17 Car Detection using HAAR Cascade and Opencv from Videos.
Car Detection using HAAR Cascade and Opencv from Videos.
Krish Naik
18 Using OpenFace for Face recognition in Keras
Using OpenFace for Face recognition in Keras
Krish Naik
19 OpenPose Tutorial with Tensorflow
OpenPose Tutorial with Tensorflow
Krish Naik
20 Multiple Linear Regression using python and sklearn
Multiple Linear Regression using python and sklearn
Krish Naik
21 Dimensional Reduction| Principal Component Analysis
Dimensional Reduction| Principal Component Analysis
Krish Naik
22 Movie Recommender System using Python
Movie Recommender System using Python
Krish Naik
23 TPR,FPR,FNR,TNR, Confusion Matrix
TPR,FPR,FNR,TNR, Confusion Matrix
Krish Naik
24 Precision, Recall and F1-Score
Precision, Recall and F1-Score
Krish Naik
25 Artificial Neural Network for Customer's Exit Prediction from Bank
Artificial Neural Network for Customer's Exit Prediction from Bank
Krish Naik
26 GridSearchCV- Select the best hyperparameter for any Classification Model
GridSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik
27 RandomizedSearchCV- Select the best hyperparameter for any Classification Model
RandomizedSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik
28 K Nearest Neighbor classification with Intuition and practical solution
K Nearest Neighbor classification with Intuition and practical solution
Krish Naik
29 K Means Clustering Intuition
K Means Clustering Intuition
Krish Naik
30 Create custom Alexa Skill- Lambda function- Part2
Create custom Alexa Skill- Lambda function- Part2
Krish Naik
31 Hierarchical Clustering intuition
Hierarchical Clustering intuition
Krish Naik
32 Implement Transfer Learning with a generic Code Template
Implement Transfer Learning with a generic Code Template
Krish Naik
33 Gender Classifier and Age Estimator using Resnet Convolution Neural Network
Gender Classifier and Age Estimator using Resnet Convolution Neural Network
Krish Naik
34 Unlock Your Application With Your Face using OpenCV
Unlock Your Application With Your Face using OpenCV
Krish Naik
35 Draw rectangle from webcam and sketch process it on a live feed
Draw rectangle from webcam and sketch process it on a live feed
Krish Naik
36 Complete Life Cycle of a Data Science Project
Complete Life Cycle of a Data Science Project
Krish Naik
37 How we can apply Machine Learning in Finance
How we can apply Machine Learning in Finance
Krish Naik
38 Deep Learning in Medical Science
Deep Learning in Medical Science
Krish Naik
39 How to switch your career to Data Science.
How to switch your career to Data Science.
Krish Naik
40 Linear Regression Mathematical Intuition
Linear Regression Mathematical Intuition
Krish Naik
41 Handle Categorical features using Python
Handle Categorical features using Python
Krish Naik
42 Machine Learning Algorithm- Which one to choose for your Problem?
Machine Learning Algorithm- Which one to choose for your Problem?
Krish Naik
43 DBSCAN Clustering Easily Explained with Implementation
DBSCAN Clustering Easily Explained with Implementation
Krish Naik
44 Curse of Dimensionality Easily explained| Machine Learning
Curse of Dimensionality Easily explained| Machine Learning
Krish Naik
45 Feature Selection Techniques Easily Explained | Machine Learning
Feature Selection Techniques Easily Explained | Machine Learning
Krish Naik
46 Tutorial 29-R square and Adjusted R square Clearly Explained| Machine Learning
Tutorial 29-R square and Adjusted R square Clearly Explained| Machine Learning
Krish Naik
47 Cross Validation using sklearn and python | Machine Learning
Cross Validation using sklearn and python | Machine Learning
Krish Naik
48 Handling Missing Data Easily Explained| Machine Learning
Handling Missing Data Easily Explained| Machine Learning
Krish Naik
49 Deploy Machine Learning Model using Flask
Deploy Machine Learning Model using Flask
Krish Naik
50 Deployment of Deep Learning Model using Flask
Deployment of Deep Learning Model using Flask
Krish Naik
51 How to Visualize Multiple Linear Regression in python
How to Visualize Multiple Linear Regression in python
Krish Naik
52 K Nearest Neighbour Easily Explained with Implementation
K Nearest Neighbour Easily Explained with Implementation
Krish Naik
53 Predicting Heart Disease using Machine Learning
Predicting Heart Disease using Machine Learning
Krish Naik
54 Predicting Lungs Disease using Deep Learning
Predicting Lungs Disease using Deep Learning
Krish Naik
55 Stock Sentiment Analysis using News Headlines
Stock Sentiment Analysis using News Headlines
Krish Naik
56 Random Forest(Bootstrap Aggregation) Easily Explained
Random Forest(Bootstrap Aggregation) Easily Explained
Krish Naik
57 Voting Classifier(Hard Voting and Soft Voting Classifier)
Voting Classifier(Hard Voting and Soft Voting Classifier)
Krish Naik
58 Credit Card Fraud Detection using Machine Learning from Kaggle
Credit Card Fraud Detection using Machine Learning from Kaggle
Krish Naik
59 Hyperparameter Optimization for Xgboost
Hyperparameter Optimization for Xgboost
Krish Naik
60 Tutorial 45-Handling imbalanced Dataset  using python- Part 1
Tutorial 45-Handling imbalanced Dataset using python- Part 1
Krish Naik

Related Reads

📰
We Built AI Using Wikipedia, But Wikipedia Is 40% Wrong
Learn how AI built using Wikipedia can be flawed due to the platform's inaccuracies and why this matters for AI development
Medium · Machine Learning
📰
I Built an LLM Filter That Prefers Silence Over Slop — and the Eval Harness That Keeps It Honest
Learn how to build an LLM filter that prioritizes silence over slop and create an evaluation harness to ensure its accuracy
Dev.to AI
📰
Open-Weight LLM API Integration: A Developer's Practical Guide
Learn to integrate open-weight LLM APIs into your applications for more flexible and customizable AI solutions
Dev.to AI
📰
Fine-Tuning: Lleva tus modelos de IA al siguiente nivel con precisión real
Learn how to fine-tune pre-trained AI models for specific business needs to achieve more precise and coherent results
Medium · Machine Learning
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →