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Analyst Chronicles
Индия
Добавлен 26 дек 2011
Welcome to my channel, Analyst Chronicles! 🐍📊Are you passionate about Python and Data Science? With awesome analytics, look no further! Our channel is dedicated to providing high-quality tutorials, tips, and tricks to help you master Python for Data Science.Whether you're a beginner looking to dive into the world of data analysis, or an experienced programmer aiming to sharpen your skills in machine learning and data visualization, you'll find valuable content here.Join our community of like-minded enthusiasts as we explore the latest tools, techniques, and best practices in Python programming for Data Science. Let's unlock the power of data together!Subscribe now and embark on an exciting journey towards becoming a proficient Python Data Scientist!
AI-Controlled Future: A Perfect World or a Lost Humanity?
In this thought-provoking video, we explore a fascinating future where Artificial Intelligence controls every aspect of life. Could this be the perfect world we’ve all imagined? Or are we headed toward an AI dystopia? We delve deep into how AI could shape industries, governance, and society itself. From automated cities to AI-driven decisions, the possibilities seem endless. Join us as we envision what a future led by AI might look like - and ask yourself, is this the perfect world?
#AIControlledFuture #PerfectWorld #ArtificialIntelligence #AIFuture #FutureTech #SmartCity #AIandHumanity #FuturisticVision #TechUtopia #Robotics #AIInSociety #AIRevolution #MachineLearning #techdrivenworld
#Fu...
#AIControlledFuture #PerfectWorld #ArtificialIntelligence #AIFuture #FutureTech #SmartCity #AIandHumanity #FuturisticVision #TechUtopia #Robotics #AIInSociety #AIRevolution #MachineLearning #techdrivenworld
#Fu...
Просмотров: 65
Видео
Ultimate Python Interview Questions & Answers 2024 | Ace Your Next Python Job Interview!
Просмотров 7621 час назад
Are you gearing up for your next Python interview and want to make a lasting impression? Look no further! In this video, we’ve compiled the top Python interview questions and expert answers that will help you stand out from the competition. 🚀 Whether you're a beginner or an experienced developer, these questions cover everything from basic syntax to advanced concepts in Python. With real-world ...
Python in Action: Learn the Basics with Real-Life Scenarios & AI Insights!
Просмотров 7114 дней назад
Python in Action: Learn the Basics with Real-Life Scenarios & AI Insights!
From Caveman to AI: The Evolution of Language and Python's Role in Shaping Our Future!
Просмотров 9221 день назад
From Caveman to AI: The Evolution of Language and Python's Role in Shaping Our Future!
Heart Disease Prediction with Decision Tree | Python Tutorial
Просмотров 1282 месяца назад
Heart Disease Prediction with Decision Tree | Python Tutorial
Logistic Regression with Titanic Dataset | Survival Prediction | Python Tutorial
Просмотров 1602 месяца назад
Logistic Regression with Titanic Dataset | Survival Prediction | Python Tutorial
Predicting Life Expectancy with Linear Regression | Python Data Analysis
Просмотров 1832 месяца назад
Predicting Life Expectancy with Linear Regression | Python Data Analysis
Master Hypothesis Testing: Practical Examples and Python Code Explained!
Просмотров 2002 месяца назад
Master Hypothesis Testing: Practical Examples and Python Code Explained!
Mastering SVM: A Comprehensive Guide to Support Vector Machines in Machine Learning
Просмотров 1242 месяца назад
Mastering SVM: A Comprehensive Guide to Support Vector Machines in Machine Learning
K-Means Clustering Explained | Machine Learning Tutorial with Python
Просмотров 2052 месяца назад
K-Means Clustering Explained | Machine Learning Tutorial with Python
K-Nearest Neighbors (KNN) Explained | Machine Learning Tutorial with Python
Просмотров 1882 месяца назад
K-Nearest Neighbors (KNN) Explained | Machine Learning Tutorial with Python
Exploring Australian Statistics with Python Pandas | Data Analysis Tutorial
Просмотров 4962 месяца назад
Exploring Australian Statistics with Python Pandas | Data Analysis Tutorial
Comparing ML Models: Logistic Regression vs. Decision Tree vs. Random Forest | Breast Cancer Dataset
Просмотров 1,5 тыс.3 месяца назад
Comparing ML Models: Logistic Regression vs. Decision Tree vs. Random Forest | Breast Cancer Dataset
Master Decision Trees with Python: Wine Dataset Tutorial
Просмотров 7593 месяца назад
Master Decision Trees with Python: Wine Dataset Tutorial
Logistic Regression Tutorial with IRIS Dataset - Step-by-Step Guide
Просмотров 8653 месяца назад
Logistic Regression Tutorial with IRIS Dataset - Step-by-Step Guide
"India's Critical Data Unveiled: Population, Health, Food Usage, and More with Python"
Просмотров 1,4 тыс.3 месяца назад
"India's Critical Data Unveiled: Population, Health, Food Usage, and More with Python"
Master Linear Regression with the Diabetes Dataset: Step-by-Step Tutorial
Просмотров 9263 месяца назад
Master Linear Regression with the Diabetes Dataset: Step-by-Step Tutorial
Mastering Machine Learning with Scikit-Learn: Complete Tutorial for Beginners to Advanced
Просмотров 1,1 тыс.3 месяца назад
Mastering Machine Learning with Scikit-Learn: Complete Tutorial for Beginners to Advanced
Complete Machine Learning Tutorial for Beginners | Step-by-Step Guide
Просмотров 3,1 тыс.3 месяца назад
Complete Machine Learning Tutorial for Beginners | Step-by-Step Guide
Mastering Data Visualization with Seaborn: From Basics to Advanced Techniques
Просмотров 1,9 тыс.3 месяца назад
Mastering Data Visualization with Seaborn: From Basics to Advanced Techniques
Exploratory Data Analysis of Agricultural Production in Indian States: Trends,Patterns, and Insights
Просмотров 1533 месяца назад
Exploratory Data Analysis of Agricultural Production in Indian States: Trends,Patterns, and Insights
Exploring Walmart Sales: An In-Depth EDA Tutorial
Просмотров 3453 месяца назад
Exploring Walmart Sales: An In-Depth EDA Tutorial
Mastering Statistics: A Comprehensive Guide to Descriptive and Inferential Analysis
Просмотров 7163 месяца назад
Mastering Statistics: A Comprehensive Guide to Descriptive and Inferential Analysis
Mastering Matplotlib: A Comprehensive Guide to Python Data Visualization
Просмотров 6833 месяца назад
Mastering Matplotlib: A Comprehensive Guide to Python Data Visualization
Pandas Groupby: The Secret Weapon for Data Wrangling in Python
Просмотров 5743 месяца назад
Pandas Groupby: The Secret Weapon for Data Wrangling in Python
Advanced String Manipulation in Pandas with the.str Accessor#dataanalysis#datasci #pythonprogramming
Просмотров 7763 месяца назад
Advanced String Manipulation in Pandas with the.str Accessor#dataanalysis#datasci #pythonprogramming
Cinema Unveiled: Exploring Movie Trends through Data Analysis#dataanalysis #datascience#pandasbasics
Просмотров 7333 месяца назад
Cinema Unveiled: Exploring Movie Trends through Data Analysis#dataanalysis #datascience#pandasbasics
Data Alchemy with Python: Turning Basics into Insights
Просмотров 3,4 тыс.3 месяца назад
Data Alchemy with Python: Turning Basics into Insights
Great video learnt a lot
Glad you enjoyed it
Very good 👍
Thank you! Cheers!
Thank you 😊
You're welcome 😊
Do we need to convert float dtypes column into int dtype.
conversions are situational, depending on the nature of your data and the transformations you're applying during preprocessing.
needs a pop filter
Count+=1
3
512
=
Select
Its good to learn vth definition.Thankyou
Ans: c) my_list = [1,2,3]
.xlsx. option C
Average. Option B
.xlsx
C
Sir plz provide link of this notes
Sure, I'll update the link
Intresting!!
I love watching your videos they are very explanatory and interesting.
Great job 👍
👾
very great
This is really helpful👍
This is very helpful, good job 👏 👍
Glad to hear that!
All the best anna 🎉, keep going
I have updated the Dataset link in description
can you please share the link for dataset which you have used in this video?
Sure, I will update the link
Here is the video about Python basics to create graphs like this ruclips.net/video/cY_FW1R-WvI/видео.htmlsi=EIftlf_5BE8KGjlA
Font is small make it in zoom
Sure 👍
###Here is the code --- import plotly.graph_objects as go fig = go.Figure() fig.add_trace(go.Scattergeo( lat=[0], # Latitude lon=[0], # Longitude mode='markers', marker=dict( size=1, # Marker size color='rgb(255, 255, 255)', # Marker color (white) opacity=0.5 # Marker opacity ) )) fig.update_geos( projection_type="orthographic", # Choose the projection type (orthographic for a globe) showocean=True, oceancolor="lightblue", # Show ocean with light blue color showland=True, landcolor="white", # Show land with white color showcountries=True, countrycolor="gray", # Show country borders with gray color showcoastlines=True, coastlinecolor="gray", # Show coastlines with gray color showframe=False, # Hide the frame ) fig.update_layout( title_text="Movable Globe", height=600, margin=dict(r=0, l=0, b=0, t=50), ) fig.show()###
Subscriber 111
sir , make new beginner video post ... data analysis
Sure, I will start a seperate series about basics
please upload ipynb file and dataset
Sure, I will upload!!