Python Online Training | Python Training in Hyderabad

1. V I S U A L P A T H THINKPLACEMENTTHINKVISUALPATH ABOUTUS VisualPath is an IT Educational Institute. Established in 2001, and Institute offers world-class quality of education and a wide range of courses.VisualPath Institute has a dedicated placement team to help students get job placement in various IT job roles with major companies. INFRASTRUCTURE Visualpath Training Institute TRAININGMODES Visualpath Training Institute has World Class Lab facilities located in the heart of the city of Hyderabad  World Class Software Training Lab having a modern classroom equipped with latest teaching aids. Full-fledged Software Lab with state-of-the-art PCs connected in network and Open Source/Development software. 1:1 System Based Training We are offering in 3 Modes Online Training Class Room Training Corporate training Weekend Batches 1 to 1 Sessions Job Assistance CONTACT Visualpath has been actively involved in Job Placement Assistance as a value-added service in the Software Training Program.  With the backup of an advanced training curriculum and real-time business projects, we have a very consistent and growing Job Placement  Track Record( 2001 - present). Flat no: 205, 2nd Floor, NILGIRI Block,Aditya Enclave, Ameerpet, Hyderabad-16 Ph No: +91-9704455959,9618245689 E-Mail ID : online@visualpath.in FOLLOWUSON WHYTOCHOOSEOUR Social Media Profiles TRAININGINSTITUTE? https://www.facebook.com/visualpathindia/ https://twitter.com/visual_path https://in.pinterest.com/visualpath0062/pins/ https://www.linkedin.com/in/visualpath-training-a91b75135/ https://plus.google.com/u/0/+VisualPath https://www.instagram.com/visualpathittraining/ https://www.youtube.com/c/visualpath We Offer Real-time Project explanation. Free Resume Prepration Technical Assistance even after Course Completion. Backup Classes. Lab Facility Career Guidance Mock Interviews and Exams Conducted www.visualpath.in

2. P Y T H O N C O U R S EC O N T E N T Call:9704455959/9989971070 Python online and class room Training Introduction to Python: Data structures in Python: • Installation • Basic – Printing, Application in Data Analysis, Development, Data Visualization etc. • List • Tuples • Dictionaries • Sets • Importing modules and packages Control structures & Functions • If-elif-else • Loops & Conditional statements • Comprehensions • Functions • Exception Handling • Map, Filter & Reduce Basic of Object oriented programming • Classes and Objects • Inheritance • Creating modules Creating your own modules and packages • Creating packages • Importing modules • Creating packages • Importing modules and packages Data Visualization in Python • Introducing Numpy • Introducing Pandas • Merging, Subsetting, Grouping & Aggregation www.visualpath.in

3. P Y T H O N C O U R S EC O N T E N T Call:9704455959/9989971070 Python online and class room Training SQL INTRO TO SQL • Basic of SQL -SELECT, FROM, WHERE • ORDERING, GROUPING, SUBQUERIES, VIEWS • SQL with python (PYMYSQL ETC) DATA MANIPULATION IN PYTHON Getting Data in python • Getting local Data • Data from SQL • JSON Data Applications of Linear algebra • Wide & Long DATAFRAME (MELT, RESHAPE ETC) • SLICE, DICE, ORDER, GROUP, AGGREGATE DATA VISUALIZATION IN PYTHON Introduction to data visualization • Types of visualizations • Interpreting basic chart types Visualizations in python using matplotlib Create scatter plots, Histograms, Bar charts, Factes, Grids, Boxplots Machine learning: Part 1 - Data Preprocessing Part 2 - Regression: Understanding of Supervised Regression learning techniques with examples • Simple Linear Regression, • Multiple Linear Regression, • Polynomial Regression, • SVR, Decision Tree Regression, • Random Forest Regression www.visualpath.in

4. P Y T H O N C O U R S EC O N T E N T Call:9704455959/9989971070 Python online and class room Training Part 3 - Classification: Understanding of Supervised classification learning techniques with examples • Logistic Regression, • K-NN, SVM, Kernel SVM, • Naive Bayes, • Decision Tree Classification, • Random Forest Classification Part 4 - Clustering: Understanding of Unsupervised learning techniques with examples • K-Means, • Hierarchical Clustering Part 5 - Implementing the Association Rule mining: • Apriori, • Eclat Part 6 - Reinforcement Learning: • Upper Confidence Bound, • Thompson Sampling Part 7 - Natural Language Processing: • Bag-of-words model • algorithms for NLP Part 8 - Deep Learning: • Artificial Neural Networks, • Convolutional Neural Networks Part 9 - Dimensionality Reduction: • PCA, • LDA, • Kernel PCA Part 10 - Model Selection & Boosting: • k-fold Cross Validation, • Parameter Tuning, • Grid Search, • XGBoost www.visualpath.in