Chemical reactions - The transformation of chemical substance into a new chemical substance by making and breaking of bonds between different atoms is known as Chemical Reaction. Signs of a chemical reaction These factors denote that a chemical reaction has taken place- change of state of substance, change of color of substance,evolution of heat, absorption of heat, evolution of gas and evolution of light. Chemical Equation: The representation of chemical reaction by means of symbols of substances in the form of formulae is called chemical equation. E.g. - H 2 + O 2 ⇒ H 2 O Balanced Chemical Equation: A balanced chemical equation has number atoms of each element equal on both left and right sides of the reaction. *No...
ABSTRACT The increasing awareness of the depletion of fossil fuel resources and the environmental benefits of biodiesel fuel has made it more attractive in recent times. Its primary advantages deal with it being one of the most renewable fuels currently available and it is also non-toxic and biodegradable. It can also be used directly in most diesel engines without requiring extensive engine modifications. However, the cost of biodiesel is the major hurdle to its commercialization in comparison to petroleum-based diesel fuel. The high cost is primarily due to the raw material, mostly neat cooking oil. Used cooking oil is one of the economical sources for biodiesel production. However, the products formed during frying, can affect the transesterification reaction and the biodiesel properties. The production of biodiesel from waste cooking oil offers a triple-facet solution: economic, environmen...
The Digits data set of the Scikit-learn library provides numerous data-sets that are useful for testing many problems of data analysis and prediction of the results. Some Scientist claims that it predicts the digit accurately 95% of the times. Perform data Analysis to accept or reject this Hypothesis. In this project, we are using the Handwritten Digits dataset which is already ready in the sklearn library. we can import the dataset from sklearn import datasets digits = datasets . load_digits () Info about Dataset: print ( digits . DESCR ) OUTPUT: main_data = digits [ 'data' ] targets = digits [ 'target' ] len ( main_data ) % matplotlib inline plt . subplot ( 321 ) plt . imshow ( digits . images [ 1791 ], cmap = plt . cm . gray_r , interpolation = 'nearest' ) plt . subplot ( 322 ) plt . imshow ( digits . images [ 1792 ], cmap = plt . cm . gray_r , i...
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