Amazing Data Science Content In 2023

Krish Naik · Intermediate ·⚡ Algorithms & Data Structures ·3y ago

Key Takeaways

Discusses amazing data science content in 2023

Full Transcript

hello all my name is kushak and welcome to my YouTube channel so guys uh before I go ahead with respect to this video I'd like to wish you all a very happy new year and in this video I'm going to discuss about what all kind of amazing content I'm going to come up with in 20123 for you all uh I've been teaching data science now from past 5 to 6 years 6 to 7 years and many people have made some amazing career transition into data science not only from Tech side from non-tech side from different different background now they're working they're working in amazing projects and all so in this year I'm also going to move one step forward because already all the basic videos with respect to machine learning algorithms implementing projects have been there in my uh YouTube channel already but now we are going to move one step ahead wherein we are going to focus more on research papers we're going to focus on becoming a proficient data scientist where we focus on implementing some amazing scalable Solutions uh I'll be uploading a lot of end to end projects using different Cloud environments not only that we'll also focus on cicd pipelines AI Ops and many more things the reason why I'm making you it's let's say that I I'm just not going to upload a very big video as such or very big project as such but I really want to make you knowledgeable with respect to all the open source platform and Cloud platforms that are going to come up with and now you'll be able to see that there are different different Cloud platforms like AWS Azure gcp and all who are extensively using with the help of Docker and cub bernets helping us to develop the amazing Deployable scalable solution itself right so all those things we are going to focus on as we go ahead they're going to come up with amazing contents you know and this content will definitely have a good amount of quality and this content will actually help you in the interviews because what I've actually seen with respect to all the things that we have basically taught our students who in in neuron now it is PW skills because uron and PW skills are merged together you'll be able to see that we focused more on implementing n2n projects in such a way that which is specifically used in Industries so this will be super super helpful for everyone to crack the interviews trust me because we have cracked that knit that is actually required what all things is basically required itself and soon I'm also going to come up with a detailed road map for data science uh where you can basically crack interviews and jobs just in 3 months so that kind of road map I'll be coming up in 2023 just in some days probably for this particular year and every year I do upload a lot of videos regarding road map not only for data science but data analyst also so yes we are going to have an amazing uh let's yeah let's hope we are going to have an amazing year I hope last year was amazing for all of you who have who were able to create the interviews and all for those people who are just preparing don't worry we are going to come up I am going to specifically come up with amazing contents in this channel so that you'll be able to focus more before I end this particular video guys we at PW skills are happy to announce the data science master course and it is launching on 28 Jan 2023 the price of the course is just 3500 uh the duration of the course is 7 to 8 months and this particular course is in hybrid mode that is 80% is basically in the recorded mode and 20% will be having a live sessions two courses have been launched both in the language like English and English so you'll be able to also find out data science masters in English also and the detail syllabus is basically given over here it includes Big Data it includes machine learning deep learning natural language processing python statistics NLP and many more things like computer vision and all right so do so do definitely check out all this particular course all the information will be given in the description of this particular video I will see you all in the next video have a great day thank you one all bye-bye take care

Original Description

We at PW Skills are happy to announce below Data Science Batch Impact Batch:- Data-Science-Masters (Full Stack Data Science) https://pwskills.com/course/Data-Science-masters (Hindi) https://pwskills.com/course/Data-Science-Masters (English) Website - https://pwskills.com/
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Playlist

Uploads from Krish Naik · Krish Naik · 0 of 60

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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

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