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Pathara
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- Response 1h
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1st lesson free
- Maths
- Algebra
- Trigonometry
- Arithmetic
Master graduate teach well in mathematics, I have good experience in math
- Maths
- Algebra
- Trigonometry
- Arithmetic
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About Pathara
My self venu EDUCATION: • Master in Computer Applications Pursuing ST. Johns pg college, chengicherla. • BSc in Computer Science GPA:9.04 Gowthami Degree College, Shamshabad. • Intermediate Marks: 901 Gowthami junior college, Shamshabad. • SSC GPA: 8.3 Work History: Internship DATAPOINT, MADHURANAGAR September 2024-December 2024 • Frontend Development: Proficient in HTML, CSS to build dynamic and responsive web interfaces. • Presented with the web page interfaces. • Participated in presentations related to projects to gain knowledge. Academic Projects: Project title: “WATER QUALITY PREDICTION USING MACHINE LEARNING” • Description: This project focuses on quality of water and pH level of water. The major goal of this project is to use machine learning techniques to measure water quality. A potability is a numerical phrase that is used to assess the quality of a body of water. The following water quality parameters were utilized to assess the overall water quality in terms of potability in this study. ph, Hardness, Solids, Chloromines, Sulfate, Conductivity, Organic Carbon, Trihalomethanes, Turbidity were the parameters. To depict the water quality, these parameters are used as a feature vector. To estimate the water quality class, the paper used two types of classification algorithms: Decision Tree (DT) and K-Nearest Neighbor (KNN).
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About the lesson
- Primary
- Secondary
- SPM
- +8
levels :
Primary
Secondary
SPM
Form 6
STPM
Adult education
Bachelor
Masters
Diploma
Doctorate
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- English
All languages in which the lesson is available :
English
Linear algebra is a branch of mathematics that studies linear equations, vector spaces, and linear transformations. It's a fundamental area with applications across various fields like mathematics, physics, engineering, and computer science. Here's a more detailed breakdown: Key Concepts: Vectors: Represented as ordered lists of numbers, they can be visualized as arrows in space and are used to represent direction and magnitude. Matrices: Rectangular arrays of numbers, used to represent linear transformations and systems of equations. Linear Equations: Equations where variables are only multiplied by constants (no exponents or other functions of the variables). Linear Transformations: Functions that preserve vector addition and scalar multiplication.
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- 1hr
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