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Rohini, Delhi Branch
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Dive into the exciting world of Machine Learning with Python. Explore fundamental concepts, algorithms, and techniques for building predictive models and extracting insights from data. Master Python's powerful libraries such as scikit-learn and TensorFlow to create intelligent solutions for real-world problems and join us for Python and machine learning course at Brain Mentors.
Piyush Pandey
🏆 Achieved ₹32 LPA Placement at Trilogy Innovations 🚀
CURRICULUM ROADMAP
01
> Life Cycle of Data Science
> Setup Anaconda
> Working with Jupyter and Spyder
new item
02
> Introduction to Web Crawling
> Calling JSON API
> Fetch Data From SQL
> Convert into DataFrame
> Reading Different File Formats like csv, excel, tsv, json and raw Text
03
> Introduction To Data Analysis
> Introduction To Numpy
> Python List Vs Numpy Arrays
> Different Ways To Create Array In Numpy
> Handle Multi-Dimensional Array With Numpy
> Introduction To Pandas
> Data Analysis With Pandas
> Series And Data Frames
> Read CSV, Excel And Other Files With Pandas
> Exploratory Data Analysis With Pandas
> Statistical Analysis
> Mean, Median, Mode, Range, Variance, Standard Deviation
04
> Data Preprocessing With Pandas
> Introduction To Scikit-Learn
> Handle Missing Data
> Label Encoding, One Hot Encoding
> Feature Scaling
> Cross Validation – Data Split Techniques
05
> Introduction to Machine Learning
> How Machine Learning Works
> Flow Of Machine Learning
> Different Types Of Machine Learning
> Difference Between Supervised And Unsupervised Learning
> Understanding Continuous And Categorical Data
06
> Introduction To Regression
> Simple And Multiple Linear Regression
> Gradient Descent
> Polynomial And Ridge Regression
> Making Predictive Models
> Logistic Regression
> Predicting Categorical Data
> K-Nearest Neighbors
> Introduction To OpenCV
> Face Detection And Recognition With OpenCV
> Recommendation Systems
> Support Vector Machines
> Naïve Bayes
> Decision Trees
> Clustering – K-Means And Hierarchical
> PCA, Dimensionality Reduction
07
> Introduction To NLP
> Installing NLTK
> How NLP Works
> Word And Sentence Tokenizer
> Stopwords
> Stemming
> Lemmatizer
> TF-IDF
> Count Vectorizer
> Text Classification With Naïve Bayes
> Spam Classification Case Study
> Sentiment Analysis
08
> Introduction To Data Visualization
> Plot Graphs With Matplotlib
> Plot Histograms, Bar Plot, Scatter Plot, Box Plot, Pie Charts Etc.
> 2D And 3D Plots With Matplotlib
> Introduction To Seaborn
> Making Graphs More Attractive With Seaborn

As a data analyst at Skillrisers, I specialize in Python (Basics & Advanced), DSA, and Machine Learning.
Skilled in HTML, CSS, Java DSA, C, C++.
Conducted training at IIMT, VIDYA KNOWLEDGE PARK, BPIT, DAYAL SINGH COLLEGE, IMS, MSIT, and REDAS Passionate about continuous learning and tackling new challenges.
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Machine Learning Course using Python, AI
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