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conda environments for Data Science and AI |A-Z in #urduhinditutorial
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Video Description:
Is video mein maine aapko step-by-step explain kiya hai conda environments kaise banaye jaate hai. Data science aur AI projects ke liye alag python environments maintain karna bohot zaruri hai. #conda #environments #datascience #aitools
Conda environments kaise banaye? Is video mein maine aapko conda environments banane ke liye puri detail mein process samjhaya hai. Maine pehle conda environments ki importance explain ki hai data science aur AI projects ke context mein. Maine bataya hai ki different projects ke liye alag dependencies aur versions ki requirement hoti hai, isliye har project ke liye alag python environment banana bohot beneficial hota hai.
Phir maine step-by-step conda env banane ka tutorial diya hai - conda create environment ka use, yml file banake environment define karna, and activate and deactivate karne ke commands. Maine envy bhi set karne ke steps bataye hai taki har baar activate karna na pade. Virtual environments ke benefits aur conda envs banane ke best practices pe bhi maine video mein detail mein guidance di hai.
Agar aap data science ya AI mein interested hai, toh yeh video aapke liye bohot useful hai. Video ko dekh ke aap conda env banane mein expert ban jaoge! #conda #environments #datascience #ai
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Explore other free courses here:
🔥 Streamlit course for dash boards and webapps for data science (playlist):
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🔥-Follow me on following platforms:
---------------------------------------------------------------------------------------------------------------------------------------
#dataScience
---------------------------------------------------------------------------------------------------------------------------------------
for more details:
#datascience
---------------------------------------------------------------------------------------------------------------------------------------
Video Description:
Is video mein maine aapko step-by-step explain kiya hai conda environments kaise banaye jaate hai. Data science aur AI projects ke liye alag python environments maintain karna bohot zaruri hai. #conda #environments #datascience #aitools
Conda environments kaise banaye? Is video mein maine aapko conda environments banane ke liye puri detail mein process samjhaya hai. Maine pehle conda environments ki importance explain ki hai data science aur AI projects ke context mein. Maine bataya hai ki different projects ke liye alag dependencies aur versions ki requirement hoti hai, isliye har project ke liye alag python environment banana bohot beneficial hota hai.
Phir maine step-by-step conda env banane ka tutorial diya hai - conda create environment ka use, yml file banake environment define karna, and activate and deactivate karne ke commands. Maine envy bhi set karne ke steps bataye hai taki har baar activate karna na pade. Virtual environments ke benefits aur conda envs banane ke best practices pe bhi maine video mein detail mein guidance di hai.
Agar aap data science ya AI mein interested hai, toh yeh video aapke liye bohot useful hai. Video ko dekh ke aap conda env banane mein expert ban jaoge! #conda #environments #datascience #ai
---------------------------------------------------------------------------------------------------------------------------------------
---------------------------------------------------------------------------------------------------------------------------------------
---------------------------------------------------------------------------------------------------------------------------------------
Explore other free courses here:
🔥 Streamlit course for dash boards and webapps for data science (playlist):
---------------------------------------------------------------------------------------------------------------------------------------
🔥-Follow me on following platforms:
---------------------------------------------------------------------------------------------------------------------------------------
#dataScience
---------------------------------------------------------------------------------------------------------------------------------------
for more details:
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