https://www.instagram.com/reel/DRbjEdEDIzf/?igsh=MXZxcDE4dTVnY3Bndw==
Cybersecurity courses 🔥
Cybersecurity courses 🔥
Instagram
@cscornersunitarai
10 videos= cybersecurity degree 🔥😍🤗 Follow for more
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[College teacher, computer engineering,computer science,college,IT]
Follow @cscornersunitarai for content related to
coding🧠👩💻👨💻
#coding #coder #java javascript programming programmer laptop computerscience…
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[College teacher, computer engineering,computer science,college,IT]
Follow @cscornersunitarai for content related to
coding🧠👩💻👨💻
#coding #coder #java javascript programming programmer laptop computerscience…
https://www.instagram.com/reel/DRebgQDjKog/?igsh=Y2pnNmsyZHU0dzNi
C++ Top Playlist 🔥
C++ Top Playlist 🔥
Instagram
@cscornersunitarai
Just 4 playlists to level up your C++ skills — are you in? 🚀👨💻🔥
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[College teacher, computer engineering,computer science,college,IT]
Follow @cscornersunitarai for content related to
coding🧠👩💻👨💻
#coding #coder #python javascript programming programmer…
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[College teacher, computer engineering,computer science,college,IT]
Follow @cscornersunitarai for content related to
coding🧠👩💻👨💻
#coding #coder #python javascript programming programmer…
❤1
✅ *5 Tips to Ace Your Coding Interview* 💻🔥
1️⃣ *Understand the Problem Clearly*
- Ask questions if unclear
- Restate problem in your own words
2️⃣ *Plan Before You Code*
- Outline your approach
- Choose the right data structures
3️⃣ *Write Clean and Simple Code*
- Use meaningful variable names
- Keep functions short and focused
4️⃣ *Test Your Code Thoroughly*
- Check edge cases and large inputs
- Debug step-by-step
5️⃣ *Communicate Effectively*
- Explain your thought process aloud
- Stay calm and confident
💡 *Pro Tip:* Practice coding problems regularly on platforms like LeetCode or HackerRank.
💬 *Tap ❤️ for more!*
1️⃣ *Understand the Problem Clearly*
- Ask questions if unclear
- Restate problem in your own words
2️⃣ *Plan Before You Code*
- Outline your approach
- Choose the right data structures
3️⃣ *Write Clean and Simple Code*
- Use meaningful variable names
- Keep functions short and focused
4️⃣ *Test Your Code Thoroughly*
- Check edge cases and large inputs
- Debug step-by-step
5️⃣ *Communicate Effectively*
- Explain your thought process aloud
- Stay calm and confident
💡 *Pro Tip:* Practice coding problems regularly on platforms like LeetCode or HackerRank.
💬 *Tap ❤️ for more!*
❤5
https://www.instagram.com/reel/DRjFSjgjOxt/?igsh=MXhkeXRxaXBlbGl6dw==
Top Youtubers for coding 🔥
Top Youtubers for coding 🔥
Instagram
@cscornersunitarai
Youtubers who teach better than professors💯🔥🔥
.
.
[College teacher, computer engineering,computer science,college,IT]
Follow @cscornersunitarai for content related to
coding🧠👩💻👨💻
#coding #coder #java javascript programming programmer laptop computerscience…
.
.
[College teacher, computer engineering,computer science,college,IT]
Follow @cscornersunitarai for content related to
coding🧠👩💻👨💻
#coding #coder #java javascript programming programmer laptop computerscience…
Machine Learning Roadmap
| |-- Fundamentals
| |-- Mathematics
| | |-- Linear Algebra
| | |-- Calculus
| | |-- Probability
| | |-- Statistics
| |
| |-- Programming
| | |-- Python
| | | |-- NumPy
| | | |-- Pandas
| | | |-- Matplotlib
| | |-- R
| |-- Data Handling
| |-- Data Collection
| | |-- APIs
| | |-- Web Scraping
| | |-- SQL Databases
| |
| |-- Data Preparation
| | |-- Cleaning
| | |-- Feature Engineering
| | |-- Encoding
| | |-- Scaling
| |-- Exploratory Data Analysis (EDA)
| |-- Visual Analysis
| | |-- Matplotlib
| | |-- Seaborn
| | |-- Plotly
| |
| |-- Statistical Analysis
| | |-- Correlation
| | |-- Hypothesis Testing
| |-- Core Machine Learning
| |-- Supervised Learning
| | |-- Regression
| | |-- Classification
| | |-- Time Series
| |
| |-- Unsupervised Learning
| | |-- Clustering
| | |-- Dimensionality Reduction
| |
| |-- Model Evaluation
| | |-- Cross Validation
| | |-- Metrics (Accuracy, F1, RMSE)
| |-- Advanced Machine Learning
| |-- Ensemble Models
| | |-- Random Forest
| | |-- XGBoost
| |
| |-- Deep Learning
| | |-- Neural Networks
| | |-- CNN
| | |-- RNN
| | |-- LSTM
| | |-- Transformers
| |
| |-- NLP
| | |-- Text Preprocessing
| | |-- Embeddings
| | |-- Sentiment Analysis
| | |-- LLMs
| |-- Model Deployment
| |-- Flask
| |-- FastAPI
| |-- Streamlit
| |-- Docker
| |-- CI/CD
| |-- MLOps
| |-- Experiment Tracking (MLflow)
| |-- Model Monitoring
| |-- Data Pipelines
| |-- Big Data for ML
| |-- Spark ML
| |-- Hadoop
| |-- Domain Knowledge
| |-- Finance
| |-- Healthcare
| |-- Retail
| |-- Responsible AI
| |-- Bias Detection
| |-- Explainability (SHAP, LIME)
| |-- Privacy and Fairness
Free Resources to Learn Machine Learning👇👇
1. Machine Learning Basics
https://www.kaggle.com/learn/intro-to-machine-learning
https://www.youtube.com/watch?v=NWONeJKn6kc
2. Python for ML
https://www.kaggle.com/learn/python
https://www.geeksforgeeks.org/python-programming-language/learn-python-tutorial
3. Mathematics for ML
https://www.khanacademy.org/math/statistics-probability
https://www.3blue1brown.com/topics/linear-algebra
4. Data Preprocessing
https://www.kaggle.com/learn/data-cleaning
https://www.kaggle.com/learn/pandas
5. Deep Learning
https://www.deeplearning.ai
https://www.youtube.com/watch?v=aircAruvnKk
https://www.kaggle.com/learn/intro-to-deep-learning
6. NLP
https://www.kaggle.com/learn/nlp
7. ML Projects
https://www.kaggle.com/competitions
https://machinelearningmastery.com/start-here/
8. Model Deployment
https://docs.streamlit.io/
https://fastapi.tiangolo.com/
https://www.youtube.com/watch?v=Qw9zlE3t8Ko
❤️ Like for more free resource
| |-- Fundamentals
| |-- Mathematics
| | |-- Linear Algebra
| | |-- Calculus
| | |-- Probability
| | |-- Statistics
| |
| |-- Programming
| | |-- Python
| | | |-- NumPy
| | | |-- Pandas
| | | |-- Matplotlib
| | |-- R
| |-- Data Handling
| |-- Data Collection
| | |-- APIs
| | |-- Web Scraping
| | |-- SQL Databases
| |
| |-- Data Preparation
| | |-- Cleaning
| | |-- Feature Engineering
| | |-- Encoding
| | |-- Scaling
| |-- Exploratory Data Analysis (EDA)
| |-- Visual Analysis
| | |-- Matplotlib
| | |-- Seaborn
| | |-- Plotly
| |
| |-- Statistical Analysis
| | |-- Correlation
| | |-- Hypothesis Testing
| |-- Core Machine Learning
| |-- Supervised Learning
| | |-- Regression
| | |-- Classification
| | |-- Time Series
| |
| |-- Unsupervised Learning
| | |-- Clustering
| | |-- Dimensionality Reduction
| |
| |-- Model Evaluation
| | |-- Cross Validation
| | |-- Metrics (Accuracy, F1, RMSE)
| |-- Advanced Machine Learning
| |-- Ensemble Models
| | |-- Random Forest
| | |-- XGBoost
| |
| |-- Deep Learning
| | |-- Neural Networks
| | |-- CNN
| | |-- RNN
| | |-- LSTM
| | |-- Transformers
| |
| |-- NLP
| | |-- Text Preprocessing
| | |-- Embeddings
| | |-- Sentiment Analysis
| | |-- LLMs
| |-- Model Deployment
| |-- Flask
| |-- FastAPI
| |-- Streamlit
| |-- Docker
| |-- CI/CD
| |-- MLOps
| |-- Experiment Tracking (MLflow)
| |-- Model Monitoring
| |-- Data Pipelines
| |-- Big Data for ML
| |-- Spark ML
| |-- Hadoop
| |-- Domain Knowledge
| |-- Finance
| |-- Healthcare
| |-- Retail
| |-- Responsible AI
| |-- Bias Detection
| |-- Explainability (SHAP, LIME)
| |-- Privacy and Fairness
Free Resources to Learn Machine Learning👇👇
1. Machine Learning Basics
https://www.kaggle.com/learn/intro-to-machine-learning
https://www.youtube.com/watch?v=NWONeJKn6kc
2. Python for ML
https://www.kaggle.com/learn/python
https://www.geeksforgeeks.org/python-programming-language/learn-python-tutorial
3. Mathematics for ML
https://www.khanacademy.org/math/statistics-probability
https://www.3blue1brown.com/topics/linear-algebra
4. Data Preprocessing
https://www.kaggle.com/learn/data-cleaning
https://www.kaggle.com/learn/pandas
5. Deep Learning
https://www.deeplearning.ai
https://www.youtube.com/watch?v=aircAruvnKk
https://www.kaggle.com/learn/intro-to-deep-learning
6. NLP
https://www.kaggle.com/learn/nlp
7. ML Projects
https://www.kaggle.com/competitions
https://machinelearningmastery.com/start-here/
8. Model Deployment
https://docs.streamlit.io/
https://fastapi.tiangolo.com/
https://www.youtube.com/watch?v=Qw9zlE3t8Ko
❤️ Like for more free resource
Kaggle
Learn Intro to Machine Learning Tutorials
Learn the core ideas in machine learning, and build your first models.
❤1
https://www.instagram.com/reel/DRoUlV6jOfY/?igsh=MXF0YzZlcHhseXZo
8 videos = High Income Skills 🔥📈💰💰
8 videos = High Income Skills 🔥📈💰💰
Opportunities for you :
1. AI Winter Internship
https://www.linkedin.com/jobs/view/4335253042/
2. Research Intern, IBM
https://www.linkedin.com/jobs/view/4316756602/
3. Social Media Intern
https://www.linkedin.com/jobs/view/4324654525/
Keep growing ❤️
1. AI Winter Internship
https://www.linkedin.com/jobs/view/4335253042/
2. Research Intern, IBM
https://www.linkedin.com/jobs/view/4316756602/
3. Social Media Intern
https://www.linkedin.com/jobs/view/4324654525/
Keep growing ❤️
Linkedin
Mowito hiring AI Winter Internship in Bengaluru, Karnataka, India | LinkedIn
Posted 1:47:38 PM. About MowitoAt Mowito, we’re building Physical AI – models that control robot arms directly from…See this and similar jobs on LinkedIn.