- 313
- 96 234
Demystify with Ajay
India
เข้าร่วมเมื่อ 29 เม.ย. 2022
I am the proud founder of AP3 Solutions, leveraging over 15 years of groundbreaking experience in the realms of machine learning, deep learning, and computer vision.
My journey encompasses not only pioneering research in the fields of Data Science, Machine Learning, Deep Learning, Natural Language Processing and Computer Vision but also an unwavering commitment to mentorship.
On my TH-cam channel, I cover a wide range of topics related to AI, Data Science, Machine Learning, Deep Learning while using numerous examples of actual problems. I've delivered over 75 technical talks on Data Science, Machine Learning, Deep Learning, and AI at various meetups, technical institutions, and community forums.
My goal is to democratize access to DS, ML, DL and many recent technologies, for all who seek this transformative journey. Subscribe to our channel and join our community of learners and visionaries.
Together, let's shape a brighter, more interconnected future in technology.
My journey encompasses not only pioneering research in the fields of Data Science, Machine Learning, Deep Learning, Natural Language Processing and Computer Vision but also an unwavering commitment to mentorship.
On my TH-cam channel, I cover a wide range of topics related to AI, Data Science, Machine Learning, Deep Learning while using numerous examples of actual problems. I've delivered over 75 technical talks on Data Science, Machine Learning, Deep Learning, and AI at various meetups, technical institutions, and community forums.
My goal is to democratize access to DS, ML, DL and many recent technologies, for all who seek this transformative journey. Subscribe to our channel and join our community of learners and visionaries.
Together, let's shape a brighter, more interconnected future in technology.
New Year 2025:Transform Your Life with One Powerful Resolution-Insights from Groundbreaking Research
whatsapp.com/channel/0029VaFVXqY9WtC9KfU6630U
github.com/ajanthadevi2012
github.com/ajanthadevi2012
มุมมอง: 84
วีดีโอ
Avoiding Overfitting: Building Machine Learning Models That Generalize
มุมมอง 2816 ชั่วโมงที่ผ่านมา
whatsapp.com/channel/0029VaFVXqY9WtC9KfU6630U github.com/ajanthadevi2012
Finding the Perfect Balance: The Right Amount of Data in Machine Learning
มุมมอง 2219 ชั่วโมงที่ผ่านมา
whatsapp.com/channel/0029VaFVXqY9WtC9KfU6630U github.com/ajanthadevi2012
Refine, Optimize, Succeed | Iterate and Improve | The Secret to Machine Learning Success
มุมมอง 3919 ชั่วโมงที่ผ่านมา
whatsapp.com/channel/0029VaFVXqY9WtC9KfU6630U github.com/ajanthadevi2012
The Art and Science of Data Visualization: Turning Numbers into Insights
มุมมอง 29วันที่ผ่านมา
whatsapp.com/channel/0029VaFVXqY9WtC9KfU6630U github.com/ajanthadevi2012
Adapting ML Models: When & Why to Update as like Google Search Engine
มุมมอง 30วันที่ผ่านมา
whatsapp.com/channel/0029VaFVXqY9WtC9KfU6630U github.com/ajanthadevi2012
Google Translates Secret: Why Data Beats Algorithm Complexity
มุมมอง 2714 วันที่ผ่านมา
whatsapp.com/channel/0029VaFVXqY9WtC9KfU6630U github.com/ajanthadevi2012
Why Clear Objectives Are Essential: Google’s Secret to Machine Learning Success
มุมมอง 4014 วันที่ผ่านมา
whatsapp.com/channel/0029VaFVXqY9WtC9KfU6630U github.com/ajanthadevi2012
Master Machine Learning: Why Starting Simple Is the Key to Success
มุมมอง 10521 วันที่ผ่านมา
whatsapp.com/channel/0029VaFVXqY9WtC9KfU6630U github.com/ajanthadevi2012
Demystifying Artificial Intelligence, Machine Learning, and Data Science: Simplified for Everyone!
มุมมอง 9621 วันที่ผ่านมา
whatsapp.com/channel/0029VaFVXqY9WtC9KfU6630U github.com/ajanthadevi2012
Work from Anywhere: AI Job Roles Dominating the Remote Scene in 2025
มุมมอง 11621 วันที่ผ่านมา
whatsapp.com/channel/0029VaFVXqY9WtC9KfU6630U github.com/ajanthadevi2012
Explore the Top 8 AI Roles Shaping 2025's Job Market 🚀 | Your Path to a Future-Proof Career
มุมมอง 12121 วันที่ผ่านมา
whatsapp.com/channel/0029VaFVXqY9WtC9KfU6630U github.com/ajanthadevi2012
Do you want to know what ChatGPT asked me as Birthday Gift and What I gifted it. watch till the end.
มุมมอง 57หลายเดือนก่อน
www.routledge.com/Prompt-Engineering-Empowering-Communication/DeviVairamani-Nayyar/p/book/9781032679907?srsltid=AfmBOop6QqOFpACTNeoSC3KQqZILlZMRYHjVA0b7N5TQx5dO_1s_RUL-
Machine Learning 40 - Project 2-Linear regression with SGD-Vehicle Performance Prediction Case Study
มุมมอง 241หลายเดือนก่อน
whatsapp.com/channel/0029VaFVXqY9WtC9KfU6630U github.com/ajanthadevi2012
Machine Learning 39 - Project 1 - Linear regression with OLS - Property Price Prediction Case Study
มุมมอง 1842 หลายเดือนก่อน
Machine Learning 39 - Project 1 - Linear regression with OLS - Property Price Prediction Case Study
Machine Learning 38-Polynomial Regression-Intuition and sklearn model- need of Polynomial Regression
มุมมอง 732 หลายเดือนก่อน
Machine Learning 38-Polynomial Regression-Intuition and sklearn model- need of Polynomial Regression
Machine Learning 37 - Multiple Linear Regression
มุมมอง 952 หลายเดือนก่อน
Machine Learning 37 - Multiple Linear Regression
Machine Learning 36 - Linear Regression Simplified - Ordinary Least Square vs Gradient Descent
มุมมอง 802 หลายเดือนก่อน
Machine Learning 36 - Linear Regression Simplified - Ordinary Least Square vs Gradient Descent
Machine Learning 35 - Simple Linear Regression - Intuition and sklearn model
มุมมอง 1652 หลายเดือนก่อน
Machine Learning 35 - Simple Linear Regression - Intuition and sklearn model
Machine Learning 34 - Foundations of Machine Learning
มุมมอง 1063 หลายเดือนก่อน
Machine Learning 34 - Foundations of Machine Learning
Machine Learning 33 - Generalization using Cross-validation in Machine Learning
มุมมอง 1003 หลายเดือนก่อน
Machine Learning 33 - Generalization using Cross-validation in Machine Learning
Machine Learning 32 - Overfitting, Underfitting, Bias-Variance and Random state
มุมมอง 783 หลายเดือนก่อน
Machine Learning 32 - Overfitting, Underfitting, Bias-Variance and Random state
Machine Learning 31 - Evaluating the Performance of Classification Models
มุมมอง 923 หลายเดือนก่อน
Machine Learning 31 - Evaluating the Performance of Classification Models
Machine Learning 30 - Evaluating the Performance of Regression Models
มุมมอง 1093 หลายเดือนก่อน
Machine Learning 30 - Evaluating the Performance of Regression Models
Machine Learning 29 - Techniques to Solve Imbalanced Classes in Machine Learning
มุมมอง 1053 หลายเดือนก่อน
Machine Learning 29 - Techniques to Solve Imbalanced Classes in Machine Learning
Machine Learning 28-Comprehensive EDA for Analyzing Data Analyst Job Trends in an End-to-End Project
มุมมอง 1184 หลายเดือนก่อน
Machine Learning 28-Comprehensive EDA for Analyzing Data Analyst Job Trends in an End-to-End Project
Machine Learning 27 - Understand the Data before Performing Exploratory Data Analysis
มุมมอง 714 หลายเดือนก่อน
Machine Learning 27 - Understand the Data before Performing Exploratory Data Analysis
Machine Learning 26 - Feature Selection for UnSupervised learning
มุมมอง 734 หลายเดือนก่อน
Machine Learning 26 - Feature Selection for UnSupervised learning
Machine Learning 25 - Feature Selection for Supervised learning
มุมมอง 1054 หลายเดือนก่อน
Machine Learning 25 - Feature Selection for Supervised learning
Machine Learning 24 - Feature Scaling for Machine Learning
มุมมอง 764 หลายเดือนก่อน
Machine Learning 24 - Feature Scaling for Machine Learning
One of your early students...
Congrats Mam
Happy Learning
Can you provide the dataset and codes?
github.com/ajanthadevi2012
Mam, Thanks for the video. Can you please explain why we use plt.gca() and x and y scale as log. what is the necessity to get that into the plot. Please
The function plt.gca() stands for "get current axis," and it's used to get a reference to the current axes in a plot, which allows you to customize or modify the axes' properties.
mam please explain with a new input data to text our model prediction.
sure
provide ur requirements in detail, to make a new prediction
github.com/ajanthadevi2012/ML_Project_1_LR-with-OLS-Project-Property-Price-Prediction-Case-Study-
github.com/ajanthadevi2012/Machine-Learning-38-Polynomial-Regression-Intuition-and-sklearn-model
github.com/ajanthadevi2012/Machine-Learning-37-Multiple-Linear-Regression
github.com/ajanthadevi2012/Machine-Learning-35-Simple-Linear-Regression-Intuition-and-sklearn-model
github.com/ajanthadevi2012/MLS_2024_Module_7_Understand_the_Techniques_before_Machine_Learning_Algorithm/tree/main
github.com/ajanthadevi2012/MLS_2024_Module_7_Understand_the_Techniques_before_Machine_Learning_Algorithm/tree/main
github.com/ajanthadevi2012/MLS_2024_Module_7_Understand_the_Techniques_before_Machine_Learning_Algorithm/tree/main
github.com/ajanthadevi2012/MLS_2024_Module_7_Understand_the_Techniques_before_Machine_Learning_Algorithm/tree/main
github.com/ajanthadevi2012/MLS_2024_Module_7_Understand_the_Techniques_before_Machine_Learning_Algorithm/tree/main
github.com/ajanthadevi2012/MLS_2024_Module_7_Understand_the_Techniques_before_Machine_Learning_Algorithm/tree/main
github.com/ajanthadevi2012/MLS_2024_Module_7_Understand_the_Techniques_before_Machine_Learning_Algorithm/tree/main
Mam i think you are from Chennai please upload in tamil audio you will get more views and subscribers initial day some people only watch don't stop your video you will easily reach 1 lakh within 7 months
😄Thank you. Here my passion is on Knowledge Sharing. Just one observe and learn from the videos That’s sufficient for the effort I made to create the content and videos. Sure proposed to work more on Tamil too
Good Course. Keep Uploading more
Great course of ML
Thankyou!!....
Happy learning
github.com/ajanthadevi2012/MLS_2024_Module_1_NumPy-and-Pandas-Library-for-Machine-Learning github.com/ajanthadevi2012/MLS_2024_Module_2_Maths-for-ML github.com/ajanthadevi2012/MLS_2024_Module_3_Data-visualization-guide-for-ML github.com/ajanthadevi2012/MLS_2024_Module_4_Statistics-and-Probability-for-Machine-Learning github.com/ajanthadevi2012/MLS_2024_Module_5_Data_Preprocessing-for-Machine-Learning
Keep it up mam ❤
Happy learning
Hi ma’am it’s been a struggle to get data science interviews after 2.5 years experience in etl , data integration domain and a masters degree And I’m thing to go back to data engineering or data integration space ? May I please know your suggestion please? If any in this job market ?
It can be frustrating when you're not getting interviews despite having solid experience and a master's degree. 1. Highlight any projects or tasks from your ETL and data integration experience that are relevant to data science (e.g., data cleaning, preprocessing, or analysis). Focus on your experience with Python, SQL, or other data science tools like Power BI, and emphasize relevant skills like data manipulation, model building, or visualization. 2. Work on a few end-to-end data science projects that showcase your skills, from data preprocessing and feature engineering to building and evaluating machine learning models. Share these on GitHub and platforms like LinkedIn or Kaggle. 3. Customize your resume and cover letter for each role by emphasizing the skills and experiences most relevant to that specific position. 4. Transitioning from ETL and data integration to data science can be an asset, as these roles often deal with data pipelines, large-scale data processing, and integration-key skills in many data science roles. Try applying for positions that value this background, such as data engineering or hybrid roles (data engineer + data scientist). 5. Keep trying. All the Best 🙂
@@DemystifywithAjay thank you ma’am Highly appreciate it for your support 😊
Thank You Mam ❤
Keep watching. Happy Learning
github.com/ajanthadevi2012/MLS_2024_Module_1_NumPy-and-Pandas-Library-for-Machine-Learning github.com/ajanthadevi2012/MLS_2024_Module_2_Maths-for-ML github.com/ajanthadevi2012/MLS_2024_Module_3_Data-visualization-guide-for-ML github.com/ajanthadevi2012/MLS_2024_Module_4_Statistics-and-Probability-for-Machine-Learning github.com/ajanthadevi2012/MLS_2024_Module_5_Data_Preprocessing-for-Machine-Learning
github.com/ajanthadevi2012/MLS_2024_Module_1_NumPy-and-Pandas-Library-for-Machine-Learning github.com/ajanthadevi2012/MLS_2024_Module_2_Maths-for-ML github.com/ajanthadevi2012/MLS_2024_Module_3_Data-visualization-guide-for-ML github.com/ajanthadevi2012/MLS_2024_Module_4_Statistics-and-Probability-for-Machine-Learning github.com/ajanthadevi2012/MLS_2024_Module_5_Data_Preprocessing-for-Machine-Learning
github.com/ajanthadevi2012/MLS_2024_Module_1 github.com/ajanthadevi2012/MLS_2024_Module_2 github.com/ajanthadevi2012/MLS_2024_Module_3 github.com/ajanthadevi2012/MLS_2024_Module_4 github.com/ajanthadevi2012/MLS_2024_Module_5
github.com/ajanthadevi2012/MLS_2024_Module_1 github.com/ajanthadevi2012/MLS_2024_Module_2 github.com/ajanthadevi2012/MLS_2024_Module_3 github.com/ajanthadevi2012/MLS_2024_Module_4 github.com/ajanthadevi2012/MLS_2024_Module_5
github.com/ajanthadevi2012/MLS_2024_Module_1 github.com/ajanthadevi2012/MLS_2024_Module_2 github.com/ajanthadevi2012/MLS_2024_Module_3 github.com/ajanthadevi2012/MLS_2024_Module_4 github.com/ajanthadevi2012/MLS_2024_Module_5
github.com/ajanthadevi2012/MLS_2024_Module_1 github.com/ajanthadevi2012/MLS_2024_Module_2 github.com/ajanthadevi2012/MLS_2024_Module_3 github.com/ajanthadevi2012/MLS_2024_Module_4 github.com/ajanthadevi2012/MLS_2024_Module_5
github.com/ajanthadevi2012/MLS_2024_Module_1 github.com/ajanthadevi2012/MLS_2024_Module_2 github.com/ajanthadevi2012/MLS_2024_Module_3 github.com/ajanthadevi2012/MLS_2024_Module_4 github.com/ajanthadevi2012/MLS_2024_Module_5
github.com/ajanthadevi2012/MLS_2024_Module_1 github.com/ajanthadevi2012/MLS_2024_Module_2 github.com/ajanthadevi2012/MLS_2024_Module_3 github.com/ajanthadevi2012/MLS_2024_Module_4 github.com/ajanthadevi2012/MLS_2024_Module_5
github.com/ajanthadevi2012/MLS_2024_Module_1 github.com/ajanthadevi2012/MLS_2024_Module_2 github.com/ajanthadevi2012/MLS_2024_Module_3 github.com/ajanthadevi2012/MLS_2024_Module_4 github.com/ajanthadevi2012/MLS_2024_Module_5
6th like
Thank you mam for amazing sections
Keep watching and Happy Learning
github.com/ajanthadevi2012/MLS_2024_Module_3
github.com/ajanthadevi2012/MLS_2024_Module_3
github.com/ajanthadevi2012/MLS_2024_Module_2
github.com/ajanthadevi2012/MLS_2024_Module_2
github.com/ajanthadevi2012/MLS_2024_Module_1
github.com/ajanthadevi2012/MLS_2024_Module_1
github.com/ajanthadevi2012/MLS_2024_Module_1
github.com/ajanthadevi2012/MLS_2024_Module_1
github.com/ajanthadevi2012/MLS_2024_Module_1
github.com/ajanthadevi2012/MLS_2024_Module_1
can u provide data link ....
github.com/ajanthadevi2012/MLS_2024_Module_1 github.com/ajanthadevi2012/MLS_2024_Module_2 github.com/ajanthadevi2012/MLS_2024_Module_3 github.com/ajanthadevi2012/MLS_2024_Module_4 github.com/ajanthadevi2012/MLS_2024_Module_5
github.com/ajanthadevi2012/MLS_2024_Module_1
mam for matplotlib and seaborn
Mam Jupiter note book
sure i share the github link
@@DemystifywithAjay when mam
@@TN__movies github.com/ajanthadevi2012/MLS_2024_Module_1
Can we memories all formula Its important?